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professor level. This is a scientist track non-tenure position. The successful candidates must have a Ph.D. degree in computational biology, bioinformatics, quantitative genetics, molecular biology and
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experimental trials • Identifying genes and pathways involved in convergent adaptation to Arctic environments The project will involve fieldwork, greenhouse experiments, and advanced bioinformatic analyses
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction
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Centre Network (MoHCCN). We also deliver bioinformatics analysis software and high performance computing services for the life science research community, including analysis pipelines used by multiple
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, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering. This position will be the driving force for developing cutting-edge hydrogel-based technologies to study brain function
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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CRUK MI, and the Bioinformatics and Biostatistics team at CRUK NBC and the wide network of scientist, computational biologists and clinicians within the MANIFEST consortium. This is an exciting
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graduating Ph.D. student or a recent Ph.D. graduate in one or more of the following areas: Horticulture or food science Bioinformatics Toxicology Analytical chemistry Canine science Data science or
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quantitative proteomics analysis using advanced mass spectrometry instrumentation and leading bioinformatics software. The PMF opened in 2017 as the University of Connecticut’s first proteomics-focused and full