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insights. The engineer will collect data from experiments for further processing, error analysis, algorithm improvement and debugging and will document and maintain code via version control software
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms
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the positive ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department
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, advanced acquisition strategies, multi-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
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, optimization and inverse problems, computational aspects of stochastic (partial) differential equations, randomized numerical algorithms, structure-aware and structure-preserving numerical methods for continuum
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to enable long-term maintainability and sustainability of the software; apply appropriate domain-specific algorithms and programming techniques to advance software engineering in research computing. Provide
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performance, algorithmic improvement; proficiency with: MS Office, Google Workspace (Word, Excel, and PowerPoint, Gmail, Google Slides); excellent oral and written communication skills including the ability
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scientific/technical work focusing on modelling, simulation, algorithm development, data analysis, testing, or evaluation of complex technical or computational systems. Knowledge or experience in one or more
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 19 days ago
simulations across scales: From molecules to stars Making sense of data: From words to weather Enabling the future of reproducible, data intensive research: From algorithms to knowledge discovery What we offer