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We are looking for a motivated doctoral student who wants to explore how generative AI can transform the design of advanced heat exchangers for future aircraft propulsion systems. About the position The PhD position is part of a national project supported by VINNOVA under the Advanced...
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Application Deadline 9 Oct 2025 - 22:00 (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 Reference Number 304--1
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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(R2) Country Sweden Application Deadline 14 Nov 2025 - 22:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
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planning. The applicant should have computational competencies (including Excel and GitHub), be able to work in multicultural and interdisciplinary teams, and have excellent verbal and written communication
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Application Deadline 28 Sep 2025 - 22:00 (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 Reference Number 304--1
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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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of the work is carried out in close collaboration with leading research groups in Sweden and abroad, with complementary expertise in materials synthesis and computational modelling. About the research project
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration