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Field
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single cell sequencing or spatial omics data strongly preferred. Strong publication record and written communication skills. Desired Qualifications* Expert in graph based, multiple instance learning, large
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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: This project aims to use large language models (LLM) to extract and analyze discussions on social media platforms
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Apply now to join FAU on its race to excellence. For more information on everything FAU has to offer, please visit www.fau.edu/jobs . Note: Current FAU employees must apply as an internal applicant
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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mechanisms that drive problematic consumption of highly processed foods. Research in the lab spans behavioral experiments, large observational datasets, survey studies, conceptual and theoretical scholarship