162 algorithm-"Multiple"-"U" "NTNU Norwegian University of Science and Technology" PhD positions in Germany
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, testing the results against experimental data and deriving interpretative and predictive scenarios. An active contribution to the software algorithms is also wished. Teaching duties come with this position
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the Chair of Algorithms offers a position as Research Associate
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 2 days ago
Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms that allow for eye gaze study through multiple camera
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. We are working
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and beyond. Your tasks will be: Coordination of the work of ASSURED project, liaising across multiple partners and managing internal and external communications Design, creation, and continuous
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research in a variety of areas in biology and computation, with possible specializations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence
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for traceability, robustness, and physicochemical correctness Implement and adapt the most promising algorithms to model radionuclide migration in crystalline host rocks Execute proof‑of‑concept ML simulations and
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current and future disease risk and burden across multiple pathogens with environment- and climate-sensitivity. Your Tasks: Building a diverse set of models for short-term predictions and the long-term
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of the German Federal and State Governments, today BIGSAS is part of the Cluster of Excellence EXC 2052 – "Africa Multiple: reconfiguring African Studies". The graduate school itself is an innovative centre
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the individual process parameters on the target properties and develop predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy with defined microstructure