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Field
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the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science (LIACS). Stowell's team also has regular close
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will work with Dr. Kevin Wagner on extending the DYNAMITE framework to high-contrast imaging applications involving multi-body orbital stability analysis and demographical constraints on exoplanets
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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in delaying/preventing age-related yey disorders, including cataract formation with the ultimate goal of identifying therapeutic strategies to preserve vision. We are inviting highly motivated
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, proteomic, transcriptomic, imaging, biochemical and/or physiological experiments to elucidate factors critical for important insect traits (digestion, feeding, development, reproduction, DNA repair, etc
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 05/06/2026 Application Deadline 09/22/2026 Open Until Filled No Position Type Postdoctoral
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, neural circuit analysis, molecular biology, imaging, or biochemistry techniques. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention
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excellent communication skills and organization. The laboratory uses immunological methods, molecular biology, cellular biochemistry, redox biology, murine models, imaging, and flow cytometry to discover and
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cancer progression in the West lab in the Department of Pathology at Stanford. Successful candidates will use a combination of spatial transcriptomics and highly multiplexed imaging to understand how