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classification and ranking of candidates, in accordance with the provisions of Articles 121 and 122 of the Code of Administrative Procedure, and the interested parties shall be notified by e-mail and published
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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Doctoral Network (MSCA-DN) funded by the European Union. Project title: Investigating the Material State of the Nucleolus in Cancer Host: Université libre de Bruxelles (ULB), Brussels South Charleroi BioPark
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | 6 days ago
-422StreetOkólna 2Geofield Contact City Wrocław Website https://www.intibs.pl/en/ Street ul. Okólna 2 Postal Code 50-422 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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: Copies of publications or manuscripts in preparation URLs to programming code or other products of prior work beyond publications Application packages should be submitted via e-mail as a single PDF file
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Degree PhD – Dr rer nat Doctoral degree or degree awarded by Ludwig Maximilians University of Munich or Technical University of Munich Course location München In cooperation with LMU Munich, Max
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growth Flexible working hours Possibility to work from home An additional week’s vacation compared to the provisions outlined in the Labour Code Eligibility criteria Doctorate (PhD) level education Second
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-mail kristyna.basna@soc.cas.cz Requirements Research FieldAllEducation LevelMaster Degree or equivalent Skills/Qualifications Strong academic motivation and interest in doctoral studies. Good knowledge
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is ideal for graduates of law and other disciplines who are keen to pursue ambitious doctoral work in an outstanding, interdisciplinary research environment. Doctoral candidates from all over the world
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, while citing the reference code GenAIDE_2026 in the subject of the E-Mail. All documents shall be submitted in PDF format. Where to apply E-mail ingo.scholtes@uni-wuerzburg.de Requirements Research