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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
with disordered eating and body image concerns, and be a part of the Athlete Eating Disorder Team. In addition, the fellow will receive strong generalist training with opportunities to develop skills in
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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track record of outstanding research of national or international standing excellent oral and written communication skills demonstrated experience in collaborative processes with demonstrated ability
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-ranking peer-reviewed journal relating to AI, Generative-AI, Trustworthy AI, or the social impacts of AI. Delivered an agentic LLM prototype with public evidence e.g., GitHub repo, demo, or peer-reviewed
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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neurobiology research, Can independently design and conduct experiments, analyze and interpret results, Experience working with laboratory animals, Electrophysiology, Two-photon imaging, Live/in vivo imaging
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial