17 parallel-computing-numerical-methods Postdoctoral research jobs at Medical College of Wisconsin
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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assays or TCID50, neutralization assays) Immunological methods (ELISA, Western blotting, flow cytometry, immunofluorescence microscopy) Basic bioinformatics and data analysis (e.g., R, Python, GraphPad
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performs MRI research and development of advanced multiparametric methods for the evaluation of primary and metastatic brain tumors. Recent work incorporates machine learning methods to advance
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propagation, titration such as plaque assays or TCID50, neutralization assays) Immunological methods (ELISA, Western blotting, flow cytometry, immunofluorescence microscopy) Basic bioinformatics and data
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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biophysical methods of GPCR function. Projects will involve protein expression/purification, cryo-EM structure determination, X-ray crystallography, radiolabeling kinetic studies, and possibly using biophysical
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references. Responsibilities Work under the mentorship of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a
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concepts; mathematics; written and computer documentation; data utilization, problem solving, critical thinking, and writing skills. Skills and abilities: Basic biochemistry techniques including but not
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational