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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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of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master students. Computing time is available on our local cluster and on the Austrian Scientific Cluster, a supercomputer
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(R3) Application Deadline 8 Apr 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 19 days ago
-liquid interface, as well as with other crystal defects, are therefore major questions that the PhD student will study during his/her doctorate. Other key questions arise with the evolution
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:37 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 25 days ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Contexte scientifique La compréhension des mécanismes
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, biomedicine, and sensing. Our research spans carbon-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management
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interpretation, and the dissemination of research outcomes through scientific publications and project reports. PhD in computer science, artificial intelligence, computer vision, image processing, remote sensing
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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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the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. The Red-Horse Lab at Stanford University and HHMI, https://redhorselab.com/ , studies