554 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Sweden
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information about us, please visit: www.dbb.su.se Project description We are seeking a researcher for a fixed-term project within the framework of a research program on allosteric modulation. The project
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: industrial economics and management
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., Computer Science, Cognitive Science, Human Computer Interaction, Human Robot Interaction or Artificial Intelligence. experience in programming, preferably Python. fluent in spoken and written English. It is
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics is looking for a PhD student in computational physics with a focus on understanding
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-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus
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Deadline 2 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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the research group, research within the subject area teaching in the first, second and third cycles of studies (max 20%) supervision of degree projects assist in seeking external research funding collaboration
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the foundations of computer science. Subject Description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling