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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 science with a focus on understanding
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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 science with a focus on immune memory
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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 science with a focus on deciphering
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see
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program, the speech and language pathology program and the biomedical program. For more information about the Department of Biomedical and Clinical Sciences, please follow: https://liu.se/en/organisation
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at Chalmers here . Qualifications Masters of Science degree* in Robotics & AI or classical majors such as Mechanical Engineering/Electrical Engineering/Aerospace Engineering/Computer Science with a
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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or classical majors such as Mechanical Engineering/Electrical Engineering/Aerospace Engineering/Computer Science with a specialization in themes such as robotics, systems & control engineering, mechatronics etc
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and computational methods within quantum mechanics and statistical physics with the aim to design alloys for rare-earth-free high-performance permanent magnets. You will use computational techniques