33 professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions at University of Michigan
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fragmented genomic data; Experience working with herbarium data; Strong bioinformatics skills; Strong biodiversity informatics skills; Knowledge of phylogenomics and population genetics; Knowledge of plant
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of Michigan, directed by Ashley N. Gearhardt, Ph.D ., is seeking a Postdoctoral Research Fellow to join a multidisciplinary research program focused on the addictive potential of ultra-processed foods (UPFs
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professor: Scholarship. The primary and overriding focus of the program is the production of scholarship to enter the job market successfully in the fall of the second fellowship year. To this end, two
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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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. 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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functional MRI (fMRI), electroencephalography (EEG), and neuromodulation with low-intensity focused ultrasound (LIFU); computational analysis of fMRI and EEG data; development of new research methodologies
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, solid mechanics, and the dynamic of locomotion on soft substrates A strong background in computational research using Discrete Element Method and continuum mechanics simulations is preferred, while
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
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Apply Now Job Summary The Inclusive History Project (IHP)-Dearborn Program is looking for a Research Fellow to join our team. The IHP is a multi-year presidential initiative studying and documenting
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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