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to improve conservation program delivery through behavioral science. This is a rare opportunity to help establish one of the first embedded behavioral science programs within USDA conservation delivery while
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 16 days ago
catalysts. The position is available immediately, and the starting date is flexible. The doctoral researcher will work on a 3-year doctoral program and the postdoctoral position is initially for 12 months
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. Familiarity with automotive systems, electric vehicles, and embedded BMS constraints. Experience with system identification, uncertainty-aware modelling, large datasets, and machine learning. Evidence of
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 260479 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Energy, Climate
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Superiore di Sanità (ISS) in Rome, Italy. You will be employed by the ISS and embedded in the international and interdisciplinary POLARIS consortium. You will be supervised by Dr Elena Ambrosini and benefit
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"embedding" av en tredjepartsplattform på nettsiden. Personvernregler for databehandling: Microsoft, ASP.NET - Personvernregler for databehandling Utløpsdato: Session Navn: __RequestVerificationToken
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"embedding" av en tredjepartsplattform på nettsiden. Personvernregler for databehandling: Microsoft, ASP.NET - Personvernregler for databehandling Utløpsdato: Session Navn: __RequestVerificationToken
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, KU Leuven and the MPI for Sustainable Materials, as well as the industrial partner Tata Steel. The project is embedded within the M2i framework.The Computational Materials Science section offers a
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to the properties of live sensor data: sparse, unevenly sampled, motion-distorted and partially observed Implement and evaluate the resulting systems on embedded hardware and on NIBIO's robot platforms Professional
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students and 4200 academic staff (44% international). The Faculty of Science and Engineering unites researchers across biology, neuroscience, engineering and data science. The project will be embedded within