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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
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Faculty of Life Sciences - Department of Biology Research fellow (m/f/d) in the field of Machine learning and Biomedicine with expected full-time employment - E 13 TV-L HU (third-party funding limited until
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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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within the BIO-MICRO consortium. The BIO-MICRO training programme offers a blended learning approach that combines monthly interactive live online sessions (60–90 minutes) with in-person workshops
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workflows within SolMates development of scalable, cloud-based workflows, including the integration of machine learning components into Temporal-based workflow orchestration for data processing, analysis, and
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 5 days ago
; the ability to work independently as well as collaborate in an interdisciplinary team. The following qualifications are desirable: familiarity with causal inference methods, or willingness to acquire it
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to participate in knowledge exchange and outreach activities (policy advisory activities, media engagement). There are no teaching obligations for this position, but it will be possible to teach at one of GIGA’s
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 3 months ago
asset and reflects the collaborative spirit we foster in our group Our offer We offer an inclusive and supportive work environment for talented and motivated individuals who are eager to learn and grow
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within an international teaching and learning environment. Your tasks… • Conduct research under the supervision of Prof. Dr. Sebastian Müller, with a focus on one or more of the following areas: Asset
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centers in Germany and around the world. The researcher taking on this position will be required to teach 5 hours per week, in accordance with postdoctoral workloads across Germany. The researcher will have