74 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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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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computational modeling of behavior to identify the underlying circuit computations. Current projects in our laboratory emphasize task-structured behavior assays, including set shifting, reversal learning
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on the Biology of Aging and Metabolism. His research program is focused on discovering fundamental mechanisms of aging. His laboratory employs novel animal models, primary human cells, and human tissues
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as Earth and atmospheric sciences, environmental science, hydrology, ecology, computer science, math, statistics, or related fields. Strong programming experience (e.g., Python, Fortran, or C++) and
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combination of mass spectrometry and NMR methods to assess potential risks of these chemicals to coastal ecosystems. These individuals will also interact with, lead, and assist graduate and undergraduate
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proper laboratory methods and procedures. Qualifications Required Qualifications: - A Doctorate Degree (PhD, which is completed within the last 2 years) in relevant scientific fields (neuroscience
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Colelcotricum coccodes. (10%) Recording field and greenhouse study data and applying statistical methods (e.g., ANOVA, regression) to correlate pathogen load with disease outcomes and field and greenhouse
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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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computational infrastructure such as A100 and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research