21 algorithm-"Multiple"-"U"-"Prof"-"Simons-Foundation" "University of Wisconsin Madison" positions in Switzerland
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utilization, adapt or modify algorithms to run more efficiently and consult, train and support our users on best practices along those directions. You are expected to take a holistic approach considering
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institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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theoretical and empirical boundaries. Its members are therefore expected both to be open to – and respectful of – multiple, evolving research agendas and pedagogies and to develop high-quality research in a
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or graduate degree is preferred. Minimum of 12 years of experience in clinical development, with exposure to multiple clinical operations functions. Proven experience in field-based, site-facing clinical
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learning with the physics of laser–matter interaction. Your developments will be directly validated through multiple experimental runs on state-of-the-art laser processing equipment. You will work closely
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to demonstrate prior achievement. University degree in any field with 3–7 years of relevant experience (multiple roles and/or post-PhD), with a strong preference for life sciences or health backgrounds and/or
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the framework of a large National Competence Center of Research (NCCR) “Antiresist” (for more information, view ) involving clinicians, academic and industrial research partners across multiple disciplines, a
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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management and teaching curriculum. Profile PhD in life sciences, preferably cell biology, microbiology, genetics or similar. Track record of hands-on experience with multiple types of state-of-the-art flow