47 optimization-nonlinear-functions Fellowship research jobs at University of Michigan
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these skills to future scientists is central to the Parolia Lab's mission (see below for details). The candidate will work as part of a small research team (comprising 2 to 3 individuals) to functionally
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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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Apply Now How to Apply Materials and questions should be sent by email to asbushne@med.umich.edu . Please use the subject line Fellowship Application. Please submit: A written statement describing
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taken while a graduate student (a transcript is not required). Two short (manuscript-length) examples of your written work. One of these examples should reflect the applicants' dissertation research
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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AI expertise Experience in single-cell and spatial transcriptomics/multiomics data modeling and analysis Computational biology experience Cancer biology analysis experience Modes of Work Positions that
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systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good. What Benefits can you Look Forward
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at the University of Michigan in Ann Arbor, Michigan, USA. Applicants will work with MIITT department faculty to complete translational MRI research studies. The research fellow will collaborate with faculty and
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faculty and senior trainees with diverse backgrounds. This postdoctoral position will provide a postdoctoral fellow with the opportunity to work in a dynamic, multidisciplinary research team to conduct
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Killian & Abraham labs are seeking a postdoctoral researcher to work on an NIH-funded R01 project investigating tendon cell-extracellular matrix (ECM) interactions using advanced microphysiological and