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, nonprofit, and community partners. Discusses clinic options with students, provides counsel and/or mediates to resolve difficulties or disputes when necessary, and promotes student learning and encourages
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the interview process. Primary Responsibilities: Teach courses using an approved course outline to meet approved course competencies and learning outcomes in accordance with regulatory agencies Demonstrate
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for machine-brain interface, tissue repair, and disease diagnosis, monitoring and treatment, are especially encouraged to apply. The appointee is expected to conduct world-class research and to teach
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 25 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position in Machine Learning for Single-Cell Genomics (f
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in computer programming (Visual Basic, Java, C++, Python), SQL, networking concepts, networking platforms, Windows server administration, computer repair, cybersecurity, and related courses. Defines
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data, log-trace data from learning platforms, and panel data. Relevant areas of expertise include longitudinal data analysis, psychometrics, learning analytics, and machine learning. We are particularly
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of machine learning technologies, including large language models within the Department of Food and BioResource Technology, with a special focus on technologies applicable in so-called developing countries. As
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applicants who best meet the needs of the division will be contacted for an interview. DUTIES AND RESPONSIBILITIES OF THE POSITION INCLUDE: Teach courses in the Tools for Transition and Work (TTW) Program
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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race