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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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of the doctoral student Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program. Cancer cells, however, carry genetic alterations
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students are also expected to take an active part in LUPREP's activities, and thus also be physically present in Helsingborg at least once a week. Eligibility/Entry Requirements Only those who are or have
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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Deadline 2 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1114--1-13510 Is
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by