25 parallel-and-distributed-computing-phd uni jobs at Chalmers University of Technology in Sweden
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motivated PhD candidates who want to enter a doctoral program at the forefront of science. Our PhD students develop abilities to plan, perform, critically review, and present their research. PhD studies
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Application Deadline 6 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 304--1
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If you are interested in drinking water and appreciate modelling drinking water distribution networks, this project is for you. You will work in an academic environment within ongoing research
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We are looking for a highly motivated PhD student with a strong background in materials science, physics, or a related field. The successful candidate will investigate the structure and dynamical
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. About us You will join the Systems and Control division at the Department of Electrical Engineering , where PhD students, postdocs, and senior researchers collaborate on modelling and numerical
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these phenomena. About the research project The topic of the PhD project will be about tunable self-assembled optical microcavities, and similar lines, summarized in these publications: The self-assembly processes
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The PhD position is part of a national project supported by VINNOVA under the Advanced Digitalization – Industrial Innovation call. The research will focus on developing and implementing generative AI
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2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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. The successful candidate is expected to collaborate with PhD students working on related topics within the group. The position involves supporting research through tasks such as: Collecting data from archival
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systems. This PhD project, part of a national initiative, aims to use AI to design and optimize thermal interface materials (TIMs). It combines machine learning, materials informatics, and experiments