72 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" research jobs at University of Michigan in United States
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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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Participant Safety Considerations 3. Investigational Products Development and Regulation 4. Clinical Study Operations (GCPs) 5. Study and Site Management 6. Data Management and Informatics 7
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collection kits Inventory Protocol creation Quality checking Works well in a team environment Required Qualifications* Basic computer skills (email, Word, Excel) High level of attention to detail Good
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values are Compassion, Leadership, Excellence, Responsibility, Trust, Creativity and Inclusion. U-M offers comprehensive benefits to help you stay well and to support you as you plan for a secure future
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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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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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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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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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. 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