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cellular models. Proven track record in coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students
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international conferences. Required Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance
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degree in biology (relevant themes: systematics, taxonomy, molecular phylogenetics, conservation genetics, or bioinformatics). • Documented experience with DNA-based wet lab work • Documented
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diagnostics metagenomics either wet-lab or bioinformatical. Further particulars are included in the job description. The post is fixed term for three years (available from September 2026 until 31 August 209
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for Academic Performance . About You Our ideal candidates will possess: Completion or near completion of a PhD in molecular cell biology, bioinformatics or genomics. An emerging profile in research in immunology
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Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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for Academic Performance . About You Our ideal candidates will possess: Completion or near completion of a PhD in molecular cell biology, bioinformatics or genomics. An emerging profile in research in immunology
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data