80 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at University of Minnesota
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling psychology, school psychology, and special
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Develop methods for database development and management Organize, clean and score data Interpret results with regard to study goals and hypotheses Troubleshoot and problem solve data management issues as
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against target transport proteins. • Use cryo-electron microscopy (cryo-EM) and X-ray crystallography. • Conduct biochemical experiments. • Analyze research methods and collect information and
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning
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techniques. Preference will be given to candidates with experience screening large yeast collections and computational biology expertise. Research Overview Polyploidy, or the presence of three or more sets of
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost
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searching for a Postdoctoral Associate with strong research interest in behavioral medicine. The candidate will participate in an active NIH and NSF biobehavioral research program (Director, Mustafa al'Absi