39 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" "https:" "I.E" "https:" Fellowship positions at University of Michigan
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, and highlight overall research interests and plan (no more than 3 pages), (2) a curriculum vitae, (3) the names and contact information of three references. Please submit the materials to Sabrina Olsson
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Apply Now Job Summary This is a mentored post-doctoral position for a new investigator on a career development path directed toward establishing an independent research program. The incumbent will
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program. Our interdisciplinary team investigates the biological mechanisms linking obesity to breast cancer and explores how lifestyle (exercise/nutrition) and pharmacological interventions can reduce
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
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Apply Now How to Apply Please send a CV and research summary to tcernak@umich.edu Job Summary We are seeking a highly skilled computational expert to enhance our laboratory's capabilities in
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that target dental pathogens. The successful candidate will have opportunities to interact with external collaborators, such as computational biophysicists or medicinal chemists. The position would be ideal
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), and neuromodulation with low-intensity focused ultrasound (LIFU); computational analysis of fMRI and EEG data; development of new research methodologies; presentation of findings at national and
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential