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Field
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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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integration. Your qualifications should include: · Ph.D. in Bioinformatics or related discipline · Hands on experience in genomics data analysis, including bulk and single cell RNA-seq, ATAC-seq
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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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sciences, chemistry, computational sciences, and pharmacology) or be currently pursuing. Preferred skills: Experience in immunology, cell biology, molecular biology, animal models, virology or bioinformatics
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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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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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) or be currently pursuing. Preferred skills: Experience in immunology, cell biology, molecular biology, animal models, virology or bioinformatics is desirable. Applicants with strong publication records
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. Preferred skills: Excellent communication skills and proficiency in basic bioinformatics skills. Strong drive for lab research and some background in vaccinology and Immunology. Techniques to include, but
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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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-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