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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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well as building competence to relate professionally to religious and worldview diversity for individuals in public service such as administration, health care, correctional facilities or the armed forces
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
comes with no teaching obligations BASIC RESPONSIBILITIES AND OBLIGATIONS Conducting research related to the scientific project titled “Calculus of variations in machine learning problems”, in particular
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with expertise in biological mechanisms of AD, clinical neuropsychology, translational neuroimaging methodology, and speech-language pathology. Affiliated faculty have expertise in biostatistics, machine
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care, our work is aimed at creating spaces for collaboration, critical analysis, reflection, and learning. About the organisation At the Faculty of Behavioural, Management and Social Sciences (BMS), we
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staff, PhD candidates and Postdoctoral researchers in the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: Job requirements For
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. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI
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Machine Learning. The research objective of this position is to design and conduct studies on human perception, to investigate the effect of different visualization techniques on human users. A particular