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settings. They will be highly motivated to drive the field forward by generating data for and writing high-impact publications. • 91% Bench Research: Design a semi-independent research project and perform
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims
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familiarity with high-performance computing (HPC) are required. At the University of Michigan School for Environment and Sustainability (SEAS), we are at the forefront of building a more sustainable and just
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insurance, life and disability insurance, and retirement program options. The initial appointment will be for two years with the possibility of renewal for another two years assuming satisfactory performance
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sponsorship. *Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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sponsorship. *Duties/responsibilities -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job *Duties/responsibilities -assist in performing directed high end scientific research and activities in
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., machine learning). Experience working with large-scale environmental and remotely-sensed datasets, strong proficiency in R and version control tools (such as GitHub), and familiarity with high-performance
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opportunity for advanced training and development in a collaborative and multidisciplinary environment. Job Description 70% - Experimental design and execution, including performing organic synthesis
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. The candidate will perform: 1) single cell whole transcriptome and TCR clonotype analysis using short- and long read next generation sequencing, 2) epigenetic profiling of immune cells to discern the temporal