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understand plasmadynamics and hypersonic flow physics, and 2) the exploration of transformational concepts for in-space power and propulsion using innovative laser architectures and/or rarefied atomic beams
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Deep learning expertise with advanced architectures including transformers, convolutional neural networks, and recurrent neural networks for multimodal (biomedical) data Demonstrated experience with
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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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experiments are appropriately conducted following the policies and procedures of the University of Michigan. Developing appropriate software and hardware technologies that are required for conducting
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junior lab members Proficiency in Microsoft Office, GraphPad, and other scientific software programs Desired Qualifications* Molecular biology, Cancer biology, and immunology research lab experience
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, including: Identify and generate new research ideas; Conduct critical literature reviews; Develop novel hypotheses and conceptual frameworks; Develop new research protocols and/or software; Collect data and
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quantitative and analytical skills, including proficiency with imaging analysis and statistical software (e.g., PMOD, Amide, SPM, MATLAB, or others). Modes of Work Positions that are eligible for hybrid