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(Sheets, Docs, Slides, and Forms); familiarity with Canva, Mailchimp, Salesforce, Oracle, Slack, and Zoom preferred. Knowledge, Skills and Abilities: Proficient computer skills, with demonstrated experience
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the opportunity to work at the intersection of AI and health sciences, focusing on developing machine learning approaches to diagnosing musculoskeletal pain conditions, including low back pain and osteoarthritis
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Description At the Institute of Telecommunications, Research Unit Wireless Communication, TU Wien is offering a 40-hours/week position as a Project Assistant (Post-Doc) financed from a research project (ESSENCE
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single Dean/Executive Vice President and comprises the largest unit of the University, accounting for 60% of its annual budget. All physician, hospital, and clinic services are managed through the Medical
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an opportunity for renewal to perform research using artificial intelligence (AI) and machine learning (ML) with a focus on large language models (LLMs) and foundation models (FMs) relevant to electric power
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of their daily lives. We are recruiting PhD researchers to work on projects aligned to Professor Jones’ EPSRC Fellowship and you will benefit from working closely with its team of post-docs, associated researchers
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to advance the development of new treatments and improve patient outcomes. To learn more about the Neuromuscular Division at the University of Florida, please visit https://neurology.ufl.edu/divisions
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of study leading to the Doctor of Pharmacy degree. In concert with supportive faculty and staff, students at the School build a foundation for learning that continues long after graduation. The mission
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at the school is of a hybrid nature, designed around the Problem Based Learning (PBL) modality, while also employing traditional lecture-based instruction. Minimum Qualifications Terminal doctoral degree (MD, DO
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Post-Doc Fellow, Causal Inference - 38493 Faculty Description University of Colorado Anschutz Department: Medicine, Division of General Internal Medicine Job Title: Post-Doc Fellow, Causal Inference