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, chromatin, and genomics who are interested in a career in oncology basic/translational research will be most competitive for this position. The individual will be responsible for leading a collaborative
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in the position and outline skills and experience that directly relate to this position. Job Summary The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine
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to facilitate a multifaceted Digital Scholarship Fellows program. This program, which will comprise student, faculty, and community fellows, will offer a way for the Digital Scholarship program to meet existing
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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cell or drug therapies. We are interested in recruiting bioinformatics research fellow with training in computational biology or biostatistics. relatstatistics, mathematics, or a related field.statistics
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optical cavities, lasers, or long-range sensing. The Limbach group in the Department of Aerospace Engineering at UM performs research at the intersection of optical science, sensing, and aerospace
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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for recommenders Job market paper Job Summary Professors Amanda Kowalski (University of Michigan) and David Chan (UC Berkeley) are recruiting one or more Postdoctoral Research Fellows in Health Economics and Applied
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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data