13 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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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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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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expertise in respiratory physiology and pertinent cellular and/or molecular mechanisms. Technical expertise in computer programming languages including R, Phython, and LabView are welcomed. Demonstrated
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Position Description: The Medical College of Wisconsin (MCW) Cancer Center in Milwaukee is accepting fellowship applications for the two-year Biobehavioral Oncology Training (BBOT) Program offering
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to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations to reveal the mechanical stimuli associated
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methods including, aerobic/anaerobic microbial culture, microbial genetic manipulation, DNA, RNA and protein isolations from tissues and cells, PCR, qPCR and Western Blot, and confocal microscopy
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molecular methods (including CRISPR-Cas9 genome editing) with sophisticated physiologic techniques to address fundamental mechanisms of vascular and neural function in genetically modified mouse models in
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experience. They will be proficient in basic molecular biology research methods, experienced in cell culture, and capable to analyze their data (e.g., baseline RNA-Seq visualization and interpretation). We
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of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a thorough investigation of background information pertinent