86 parallel-and-distributed-computing Postdoctoral positions at University of Minnesota in Ireland-University-Ranking-2024
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. Major responsibilites: The candidate will work independently to purify recombinant IDR constructs and label them for F19-NMR analysis. In parallel, the candidate will use Python for bioinformatics
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electrophysiological data sets. Trainees will also have opportunities for clinical exposure through our robust deep brain stimulation and movement disorders clinical research program. Candidates may refer to the below
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in C++/Java/Fortran 90, Python/MATLAB, and MPI-based parallel computing Strong publication record as first author in peer-reviewed journals Preferred qualifications Experience with 3D conjugate heat
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distribution: 50%: Laboratory work involving modern polymer characterization. Maintaining lab equipment. Manifest chemical waste. Troubleshoot instrumentation. Work with undergraduate, graduate, and postdoctoral
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research team to generate, validate, and distribute preclinical mouse models tailored to accelerate validation and therapeutic R&D for emerging gene/protein targets relevant to Parkinson’s disease (PD
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investigating the function of renal afferent nerves in interception. Major responsibilities and approximate distribution of effort. - Rodent surgeries specific to kidney, 10% - Confocal microscopy, 10% - Image
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writing and speaking ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary
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with the team to conduct a small-scale experimental pilot of the study. The postdoc will be housed inside the Department of Computer Science & Engineering, in the GroupLens lab and collaborate with
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those areas. Successful candidates will demonstrate how their mathematical and computational work makes substantive contributions to advancing these fields. Applications are welcome from candidates
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision