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Computational Biology Internship

Join NTHRYS for a Computational Biology Internship to explore the use of computational techniques in biological research, focusing on data analysis, modeling, and simulation in genomics, proteomics, and systems biology.

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Biology Internship at Sant Ravidas, Computational Biology Internship at Shahjahanpur, Computational Biology Internship at Shravasti, Computational Biology Internship at Siddharthnagar, Computational Biology Internship at Sonbhadra, Computational Biology Internship at Sultanpur, Computational Biology Internship at Unnao, Computational Biology Internship at Varanasi

Computational Biology Internship

Advanced Focused Areas for Interns in Computational Biology Internships

Internships in 200+ fields

Info @ +91-7993084748
Fee as low as Rs 6000 / 10 Days Duration
Click Here for Application Process
Important Note
Note 1: Candidates may select any one of the focused areas listed below for their internship.
Note 2: Fundamental concepts are provided as guidance for candidates who require them; however, candidates may choose to bypass these sections if desired.
Note 3: All candidates will gain practical, hands-on experience with every step outlined in the provided methodology.
Note 4: Comprehensive placement assistance and career guidance will be available to all candidates during and after the internship.
Note 5: We understand that many students may lack basic practical exposure due to shortcomings in their college education. This is not the fault of the students but rather a failure of the institutions and their staff. At NTHRYS, our staff excel at training every student from the ground up, ensuring they gain the necessary skills and experience.
Back to All Internships Computational Biology Internship Fee Details
  1. Introduction to Computational Biology
  2. Computational Genomics
  3. Computational Proteomics
  4. Computational Systems Biology
  5. Computational Neuroscience
  6. Computational Structural Biology
  7. Bioinformatics Algorithms
  8. Machine Learning in Computational Biology
  9. Computational Drug Discovery
  10. Computational Metabolomics
  11. Computational Epigenomics
  12. Computational Modeling of Biological Networks
  13. Computational Evolutionary Biology
  14. Computational Biology in Cancer Research
  15. Computational Population Genetics
  16. Computational Biology in Personalized Medicine
  17. Computational Biology of Infectious Diseases
  18. Computational Biology in Neurodegenerative Diseases
  19. Computational Biology in Immunology
  20. Computational Biology and Synthetic Biology
  21. Computational Biology and Genome Editing
  22. Computational Phylogenetics
  23. Computational Genome Annotation
  24. Computational Biology in Agriculture
  25. Computational Biology in Environmental Science
  26. Computational Biology of Microbiomes
  27. Computational Modeling of Cellular Processes
  28. High-Performance Computing in Computational Biology
  29. Computational Biology of RNA
  30. Computational Biology and Drug Resistance
  31. Computational Biology in Vaccine Development
  32. Computational Biology in Metagenomics
  33. Computational Paleogenomics
  34. Computational Biology and Artificial Intelligence
  35. Computational Systems Medicine
  36. Computational Biology of Mitochondria
  37. Computational Biology in Clinical Research
  38. Computational Tools for Drug Design
  39. Computational Genomics of Crop Improvement
  40. Computational Biology of Signal Transduction
  41. Computational Biology in Marine Science
  42. Computational Biology in Forensic Science
  43. Computational Biology of Immune Systems
  44. Computational Biology in Aging Research
  45. Computational Biology and Gene Regulation
  46. Computational Tools for Molecular Dynamics Simulations
  47. Computational Biology of Epistasis
  48. Computational Biology in Ecology
  1. Introduction to Computational Biology Topics

    Provides an overview of computational biology, focusing on its role in analyzing biological data, modeling biological systems, and predicting biological phenomena.
  2. Computational Genomics Topics

    Studies the computational methods used to analyze genomic data, including sequence alignment, genome assembly, and the annotation of genes and regulatory elements.
  3. Computational Proteomics Topics

    Focuses on the computational analysis of proteomic data, including protein identification, quantification, and the study of protein-protein interactions.
  4. Computational Systems Biology Topics

    Studies the modeling and simulation of biological systems, including the integration of multi-omics data to understand complex biological networks and processes.
  5. Computational Neuroscience Topics

    Focuses on the use of computational models to study the nervous system, including neural network simulations, brain imaging data analysis, and the modeling of cognitive processes.
  6. Computational Structural Biology Topics

    Studies the computational methods used to determine and predict the structures of biological macromolecules, including proteins, nucleic acids, and complexes.
  7. Bioinformatics Algorithms Topics

    Focuses on the development and application of algorithms for analyzing biological data, including sequence alignment, motif discovery, and phylogenetic analysis.
  8. Machine Learning in Computational Biology Topics

    Studies the application of machine learning techniques in computational biology, including the use of algorithms for pattern recognition, predictive modeling, and data integration.
  9. Computational Drug Discovery Topics

    Focuses on the use of computational methods in drug discovery, including virtual screening, molecular docking, and the design of novel therapeutic compounds.
  10. Computational Metabolomics Topics

    Studies the computational analysis of metabolomic data, including the identification of metabolites, metabolic pathway reconstruction, and the integration of metabolomics with other omics data.
  11. Computational Epigenomics Topics

    Focuses on the computational study of epigenomic modifications, including DNA methylation, histone modifications, and their role in gene regulation and disease.
  12. Computational Modeling of Biological Networks Topics

    Studies the computational modeling of biological networks, including gene regulatory networks, protein interaction networks, and metabolic networks.
  13. Computational Evolutionary Biology Topics

    Focuses on the use of computational methods to study evolutionary processes, including the analysis of evolutionary relationships, the modeling of population dynamics, and the study of genome evolution.
  14. Computational Biology in Cancer Research Topics

    Studies the application of computational biology in cancer research, including the analysis of cancer genomes, the modeling of tumor growth, and the development of personalized cancer therapies.
  15. Computational Population Genetics Topics

    Focuses on the computational analysis of genetic variation within and between populations, including the study of allele frequencies, genetic drift, and the impact of natural selection.
  16. Computational Biology in Personalized Medicine Topics

    Studies the role of computational biology in personalized medicine, including the integration of genomic, proteomic, and clinical data to tailor treatments to individual patients.
  17. Computational Biology of Infectious Diseases Topics

    Focuses on the computational study of infectious diseases, including the modeling of pathogen-host interactions, the prediction of disease outbreaks, and the development of antimicrobial strategies.
  18. Computational Biology in Neurodegenerative Diseases Topics

    Studies the application of computational biology in understanding neurodegenerative diseases, including the analysis of genetic and molecular data to identify disease mechanisms and potential therapies.
  19. Computational Biology in Immunology Topics

    Focuses on the use of computational models to study the immune system, including the simulation of immune responses, the analysis of immune-related data, and the development of immunotherapies.
  20. Computational Biology and Synthetic Biology Topics

    Studies the integration of computational biology with synthetic biology, including the design and modeling of synthetic biological systems and the engineering of new biological functions.
  21. Computational Biology and Genome Editing Topics

    Focuses on the application of computational biology in genome editing, including the design of CRISPR guide RNAs, the prediction of off-target effects, and the modeling of edited genomes.
  22. Computational Phylogenetics Topics

    Studies the computational methods used to reconstruct phylogenetic trees, including the analysis of molecular sequences, the estimation of evolutionary relationships, and the study of speciation events.
  23. Computational Genome Annotation Topics

    Focuses on the computational annotation of genomes, including the identification of genes, regulatory elements, and non-coding regions in newly sequenced genomes.
  24. Computational Biology in Agriculture Topics

    Studies the application of computational biology in agriculture, including the analysis of crop genomes, the modeling of plant growth, and the development of sustainable agricultural practices.
  25. Computational Biology in Environmental Science Topics

    Focuses on the use of computational biology in environmental science, including the modeling of ecosystems, the analysis of environmental genomics data, and the study of biodiversity.
  26. Computational Biology of Microbiomes Topics

    Studies the computational analysis of microbiomes, including the characterization of microbial communities, the modeling of microbial interactions, and the study of the role of microbiomes in health and disease.
  27. Computational Modeling of Cellular Processes Topics

    Focuses on the computational modeling of cellular processes, including signal transduction, cell cycle regulation, and cellular metabolism.
  28. High-Performance Computing in Computational Biology Topics

    Studies the role of high-performance computing in computational biology, including the use of supercomputers and cloud computing to analyze large biological datasets and run complex simulations.
  29. Computational Biology of RNA Topics

    Focuses on the computational study of RNA, including the prediction of RNA secondary structures, the analysis of RNA-seq data, and the study of RNA-protein interactions.
  30. Computational Biology and Drug Resistance Topics

    Studies the computational analysis of drug resistance, including the identification of resistance genes, the modeling of resistance mechanisms, and the prediction of drug-resistant strains.
  31. Computational Biology in Vaccine Development Topics

    Focuses on the use of computational methods in vaccine development, including the design of vaccine candidates, the prediction of immune responses, and the modeling of vaccine efficacy.
  32. Computational Biology in Metagenomics Topics

    Studies the application of computational biology in metagenomics, including the analysis of metagenomic data, the reconstruction of microbial genomes, and the study of microbial diversity.
  33. Computational Paleogenomics Topics

    Focuses on the computational study of ancient DNA, including the reconstruction of genomes from extinct species, the analysis of evolutionary changes, and the study of ancient human populations.
  34. Computational Biology and Artificial Intelligence Topics

    Studies the integration of artificial intelligence with computational biology, including the development of AI-driven tools for data analysis, predictive modeling, and the automation of biological research.
  35. Computational Systems Medicine Topics

    Focuses on the application of systems biology in medicine, including the modeling of disease processes, the integration of multi-omics data, and the development of personalized treatment strategies.
  36. Computational Biology of Mitochondria Topics

    Studies the computational analysis of mitochondrial biology, including the study of mitochondrial DNA, the modeling of mitochondrial function, and the role of mitochondria in disease.
  37. Computational Biology in Clinical Research Topics

    Focuses on the role of computational biology in clinical research, including the analysis of clinical trial data, the modeling of disease progression, and the integration of computational tools in clinical practice.
  38. Computational Tools for Drug Design Topics

    Studies the development and application of computational tools for drug design, including molecular docking, virtual screening, and the prediction of drug-target interactions.
  39. Computational Genomics of Crop Improvement Topics

    Focuses on the use of computational genomics in crop improvement, including the analysis of crop genomes, the identification of beneficial traits, and the development of genetically enhanced crops.
  40. Computational Biology of Signal Transduction Topics

    Studies the computational modeling of signal transduction pathways, including the analysis of signaling networks, the prediction of pathway interactions, and the role of signaling in disease.
  41. Computational Biology in Marine Science Topics

    Focuses on the application of computational biology in marine science, including the analysis of marine genomics data, the modeling of marine ecosystems, and the study of marine biodiversity.
  42. Computational Biology in Forensic Science Topics

    Studies the role of computational biology in forensic science, including the analysis of forensic genomics data, the reconstruction of genetic profiles, and the application of bioinformatics in forensic investigations.
  43. Computational Biology of Immune Systems Topics

    Focuses on the computational modeling of immune systems, including the simulation of immune responses, the analysis of immune-related data, and the study of immune system dynamics.
  44. Computational Biology in Aging Research Topics

    Studies the application of computational biology in aging research, including the analysis of genetic and epigenetic changes associated with aging, the modeling of aging processes, and the identification of anti-aging interventions.
  45. Computational Biology and Gene Regulation Topics

    Focuses on the computational study of gene regulation, including the analysis of transcriptional networks, the prediction of regulatory elements, and the modeling of gene expression dynamics.
  46. Computational Tools for Molecular Dynamics Simulations Topics

    Studies the development and application of computational tools for molecular dynamics simulations, including the modeling of molecular interactions, the prediction of molecular behavior, and the study of biomolecular dynamics.
  47. Computational Biology of Epistasis Topics

    Focuses on the computational analysis of epistasis, including the study of gene-gene interactions, the modeling of epistatic effects, and the role of epistasis in complex traits and diseases.
  48. Computational Biology in Ecology Topics

    Studies the application of computational biology in ecology, including the modeling of ecological networks, the analysis of environmental genomics data, and the study of ecosystem dynamics.

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