52 software-engineering-model-driven-engineering-phd-position-"Multiple" Fellowship positions at University of Michigan
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Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest
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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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development funding with the goal to facilitate their transition to an independent faculty position. Communicate clearly and effectively with our multi-disciplinary team of scientists and engineers. Lead and
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ranges from reprogramming intracellular signaling of cells to modeling whole joint mechanics to understand and modify these systems at their respective length scales. Our research focuses on engineering
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-Cas9-engineered models: Engineer cancer cells using the CRISPR-Cas9 technique to either knock-out or knock-in genes-of-interest and generate monoclonal lines. Perform phenotypic characterization
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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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or professional degree graduates or junior postdoctoral trainees in an engineering, life sciences, physical sciences or a related field. A PhD or professional degree must be granted prior to starting the fellowship
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Apply Now How to Apply Candidates interested in this position as a Post-Doctoral Research Fellow should submit a single PDF file including their CV and a cover letter describing their research
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applicant for a Post Doc position. The candidate will work on multiple funded/unfunded research projects that aim to develop novel methods and devices to assess and improve neurological outcomes after stroke