190 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"U.S"-"FEMTO-ST" "Prof. Dr" PhD positions
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Prof. Dr. Frank Rozemeijer, Prof. Dr. Dominik Mahr, and Dr. Jonas Heller. As a PhD candidate, you will conduct original research into the ways AI is transforming procurement across industries. You will
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rolling basis until the position is filled. Please note that applications via e-mail or mail will not be considered. For further information, please contact Prof. Dr. Fabian Schär, Professor for Distributed
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and two references (names and e-mail addresses). Submitting a diploma and a reference check are part of the application process. For more information on the project and position, contact prof. dr. Jacco
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supervised by prof. dr. Christian Burgers, dr. Toni van der Meer and dr. Alexandra Schwinges. The starting date for the PhD Candidate is 1 February 2026. What are you going to do Tasks include: completing
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contact Prof. Dr. Sabine Rumpf (sabine.rumpf@unibas.ch ) and visit https://eco.duw.unibas.ch/en/ for more information about the research group Ecology Where to apply Website https://academicpositions.com
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The Department “Genes and Environment” (lead by Prof. Dr. Dr. med. univ. Elisabeth Binder) at the Max Planck Institute of Psychiatry in Munich is offering a position as a PhD Student (m/f/d
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March 2026) and Master's degree obtained afer 1 March 2023. For more information please contact Prof. dr. ir. Hilde Breesch, mail: hilde.breesch@kuleuven.be . Where to apply Website https
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neuromorphic engineering For more information please contact Prof. dr. ir. Rodolphe Sepulchre, tel.: +32 16 32 53 33, mail: rodolphe.sepulchre@kuleuven.be or Mrs. Aldona Niemiro-Sznajder, tel.: +32 16 32 96 07
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to participate in activities related to the overall project. The PhD project will be supervised by prof. dr. Christian Burgers, dr. Toni van der Meer and dr. Alexandra Schwinges. The starting date for the PhD
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supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. The focus is on explainability for multimodal foundation models