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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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-Based Healthcare https://www.aicentre.co.uk About the Role This post will support the development and early implementation of an NHS-ready, AI-assisted CMR reporting interface (edgeCMR). The role is
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Description We are looking for a motivated PhD candidate to join the Dendooven Lab at the VIB–VUB Center for Structural Biology. You will work at the interface of structural biology, cell biology, and
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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):e202105146. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteInstitute
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher (f/m) for a fixed period until
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improved mobility. An AI-based Human-Machine-Interface, employing machine learning and neural networks, enables real-time control by the user. Embedded sensors enhance functionality, while mechatronic design
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approach (wildlife, domestic animals, humans and the environment); v) data analysis and statistical modelling; vi) biosafety at the interface between species; vii) integrated and adaptive management of game