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and Computer Science at the University of Basel invite applications for a PhD or postdoctoral position focused on Large Language Models (LLMs), including pre-training and post-training. The successful
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 4 hours ago
between group-related projects, projects of individual interest, and service to the group and community (for example (co-)supervision of PhD students, peer review, support in organizing workshops, and
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
across European life-science AI efforts. Requirements PhD in computational biology, bioinformatics, machine learning, or a related computational field Hands-on experience with foundation models / large
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which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
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developed as diagnostic tools or therapeutics for cancer. The successful candidate will plan and conduct cell-based studies, establish and optimise experimental models, perform and analyse microscopy and
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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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/Experience Preferred Education: The final candidate must have a PhD or equivalent doctorate. A copy of the doctoral diploma or other certification that indicates that the terminal degree has been completed
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Researcher (R2) Positions PhD Positions Application Deadline 20 Sep 2026 - 23:00 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through
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thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability