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), microbiological, immunological, bioinformatical (genomics and transcriptomics) and other techniques. This will involve both in vivo and in vitro research and include handling zoonotic bacteria. Learning Objectives
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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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scientific research regarding the genomics and metagenomics of marine planktonic organisms, - experience in the bioinformatic processing and analysis of molecular data from planktonic organisms, - experience
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for purposes of collective bargaining and matters affecting your compensation and working conditions. Basic Qualifications PhD in Computational Biology, Bioinformatics, Machine Learning, Data Science, or a
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bargaining and matters affecting your compensation and working conditions. Basic Qualifications Ph.D. in neuroscience, molecular biology, genetics, bioinformatics, or a related field.Strong background in
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these interactions. This track is particularly suited for candidates with a PhD in bioinformatics, structural biology, computational biology or a related field, and experience in computational structural biology
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(and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior applicants, such as recent Ph.D. graduates with 0 or 1
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. Demonstrates knowledge of bioinformatics and cancer genomics. Strong organisational skills with ability to prioritise own workload and show attention to detail. Energy and enthusiasm and good interpersonal and
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of bioinformatics tools, analysis of high-throughput sequencing data, and an interest in the field of ancient DNA (please provide details in the motivation letter and curriculum vitae). Workplan and objectives to be
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 8 hours ago
, and cellular/tissue immunogenicity assessments using flow cytometry and super-resolution microscopy. You will learn to apply bioinformatic and statistical tools to analyze immunological datasets