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for Information Security and TU Berlin (until end 2026). The PhD candidates contributes to the theoretical foundations, design, and implementation of Trustworthy LLMs thereby closely collaborating with the partners
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. SPARC has also collaborated with long term industry partner IEE S.A (www.iee.lu ), University of Naples Federico II, US Airforce Laboratories, TU Berlin, and TU Munich, among others. Personnel at SPARC
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of the federal states) Cumulative cooperative doctorate at the TU Berlin with reference to the project Flexible working hours and telework options Family-friendly working environment and conditions A wide range of
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at conferences and initiate collaborations with members of the European consortium laboratories or other collaborators of the research group (MIT, TU Berlin, Berkeley...). PLACE OF JOB: UPCT Research Laboratories
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with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal
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of this project, including industrial partners such as NCC Group and Avast (now Gen Digital), and universities such as UIUC, TU Berlin, and University of Cagliari, will ensure excellent development opportunities
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/ ), currently consisting of 6 Ph.D. students. The wider team of collaborators of this project, including industrial partners such as NCC Group and Avast (now Gen Digital), and universities such as UIUC, TU Berlin
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of this project, including industrial partners such as NCC Group and Avast (now Gen Digital), and universities such as UIUC, TU Berlin, and University of Cagliari, will ensure excellent development opportunities
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(UL-LEMTA and UL-GREEN), IECORP SA, UDES-CDER, Univ. de Tlemcen, LAT (UT), TU Berlin (TUB-WIP and TUB-EET), MicroEnergy Int. GmbH (MEI), Intern. Univ. of Rabat (UIR), Green Energy Park (GEP), Ecole
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 2 months ago
for Geosciences, Potsdam and your PhD research will be co-supervised by Prof. Dr. Andrea Cominola, Chair of Smart Water Networks, TU-Berlin. We seek a PhD researcher with expertise in statistics, predictive model