586 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University"-"Prof" positions in Netherlands
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excellent facilities (e.g., multiple labs for experimental research, equipment for movement analysis and physiological measurements, as well as high-quality engineering support to develop custom-made
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Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas. You have
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in various diversity related projects, together with the FDO. You will have a role in the actual, primary process regarding initiating and developing projects, but also in the secondary, supporting
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Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas. You have
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skills and personal interests. This is what you will do This PhD project is expected to go back and forth between methodological and theoretical developments; and applied works toward the clinical
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
of “clouds”. Popular discussions revolve around the topics of data protection, algorithmic regulation, and asymmetric ‘technological dependencies’ that raise concerns around monopolies and “digital sovereignty
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software development (e.g., treatment planning tools, imaging algorithms, AI-based applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language
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skills to join our HTA department. The successful candidate will lead and collaborate on high-impact research projects, develop grant applications, supervise PhD and postgraduate students, and strengthen
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped