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to develop and train custom autoencoders (AE). These models will be used to identify movement patterns characteristic of chronic wasting disease (CWD) infected wild cervids. Learning Objectives: The selected
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projects. With greater autonomy, you will design experiments, interpret data, and collaborate with senior researchers to develop and refine research protocols. Your role may also include mentoring junior
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attraction to artificial light that took place over summer 2025. Candidates will be expected to plan and lead behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate
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Health Equity Research Center, staff from the Electrophysiology Core, and the Department of Biological Sciences to plan, develop and carry out a research program in the molecular basis of neurodegenerative
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Investigator is committed to supporting the candidate’s career development and will work with the candidate to develop an individualized mentoring plan. Functional supervision may be exercised over other
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opportunities to mentor undergraduate and graduate students and to contribute to grant proposal development. The successful candidate will have strong verbal and written communication skills and must be able
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Neurodegenerative Disorders Program. This program focuses on Alzheimer's disease and related dementia. The Department of Neurology provides evaluation, treatment, and care for patients suffering from a wide range of
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Office of Women's Health Grant Program (OWH GP) | Silver Spring, Maryland | United States | about 4 hours ago
motivated postdoctoral researcher to join a collaborative project with interdisciplinary research that focuses on developing mesenchymal stromal cell-derived extracellular vesicles (MSC-EVs) as a novel
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing