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to improve the use of artificial intelligence. This involves continuously optimizing the basic hardware components and refining the methods used to develop them. The design flow of these circuits and (sub
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We invite applications for a fully funded studentship to work on the interdisciplinary field of applications of gauge-gravity dualities (aka, holography) to the study of strongly coupled theories
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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performance evaluation. You can formulate relevant research questions, select suitable methods and communicate your results clearly in both written and oral form. You have documented project management
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qualitative, quantitative, and/or mixed-methods research designs Demonstrated ability to collaborate effectively with educators and community partners Experience with externally funded research or proposal
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
) | Computer Vision The Optics & Sensing Laboratory (OSLab) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze
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. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 27 days ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project/thesis: Methods for Measuring and Monitoring Biodiversity in Forests Research subject: Biology Description