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applications of deep learning, medical imaging, and biomarker integration. This full-time, one-year position offers a unique opportunity to engage in impactful research at the intersection of AI, connectomics
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international programs in more than 150 countries. Deep Tech Program Research Data Tech II – Semiconductors and OpenAI Project The Deep Tech Program at Duke, within the Sanford School of Public Policy, explores
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the classroom and the studio work. There is an expectation to teach two courses for each of the fall and spring semesters. This EIR will teach core technical courses, including C++ Programming for Game
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staff, and supports continuous learning and professional development. 🟦 Choose Duke This is a remote position, open to candidates residing in one of the following states or districts: Arizona, California
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interpretable deep neural networks is required. Candidate must have published in top journal and conference at least one scientific paper in interpretable machine learning (not explanations of black boxes) among
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associate will also provide leadership in coordinating different projects and advising more junior lab members. The current and prior work of the lab include deep learning algorithms for detection
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role in advancing quantitative research for the Operation Deep Dive Study, a large-scale study investigating deaths of despair, suicide, non-suicidal self-harm, and other causes of premature mortality
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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projects focused on memory enhancement through deep brain stimulation (DBS), virtual reality applications, and trauma therapy in neuroscience. Key Responsibilities: · Design, execute, and analyze complex
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the laboratory as part of a research team exploring the use of eDNA to monitor deep-diving beaked whales and their prey. In addition to general lab maintenance, the position will require sample collection in