15 parallel-processing-bioinformatics Postdoctoral positions at SUNY University at Buffalo
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development, functional genomics, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry (HPLC, LC-MS). Responsibilities will include: Conducting
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sequencing and bioinformatics is a plus. Ability to work independently and in a collaborative team. Strong written and oral communication skills, as evidenced by first-author publication(s) and research
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the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and necroptotic pathways have evolved across species
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blot, histology, immunohistochemistry), Cardiac cell and tissue culture (incubator), Bioinformatics (transcriptomics, metabolomics, proteomics), Signal processing (optical action potentials, electrograms
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of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability to work independently and collaboratively
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(or equivalent) in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in Neuroscience or Genomics Demonstrated ability to work independently and
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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analysis, immune profiling; Bioinformatic analysis: Python, R, data-mining, et al. Physical Demands Salary Range $47,500 - $61,008 Additional Salary Information The salary range reflects our good faith and
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executing the experiments Developing relevant algorithms for experimental data post-processing Mentor and work closely with multiple Ph.D. and M.S. students as well as four principal investigators from
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schooling behavior of relatively small fish as they navigate complex turbulent flow fields. Using novel analytical techniques for data processing, using numerical models of varying complexity to expand