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multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid approaches for next-generation fluid simulations. Who we
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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well as two insectaria (BSL-2/BSL-3). Eight research groups are currently based at the Institute of Immunology (IfI). Further information on the IfI can be found at https://www.fli.de/de/institute/institut-fuer
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processing capability; 3. Implementation of pre-processing, anomaly detection, and self-calibration algorithms; 4. Integration with IoT communication systems selected in Task 3.2; 5. Laboratory and relevant
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for at least 6 months. During the contract – no other salary from NCN-funded projects and no other employment contract. Experience in data processing, designing or developing computational algorithms
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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Code 8353NG Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The University of Minnesota’s Center for Magnetic Resonance Research (CMRR) (http://www.cmrr.umn.edu/) has
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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analysis, performance evaluation, and liaison with local and industrial partners. Contribution to the development of digital tools, models, and algorithms related to the simulation, optimisation, and
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exploratory analysis on large, multi-dimensional datasets; (b) develop predictive/diagnostic models and algorithms to lead and support clinical/translational research; (c) collaborate with cross-functional