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: 277494300 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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health and disease under the direct supervision of Dr. Jonathan Kirk. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Certificates/Credentials/Licenses NA Computer Skills
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Skills General office suite and willingness to learn lab-specific programs. Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or
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cutting-edge multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance
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Demonstrated record of publications in relevant computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements
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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
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status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques