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. Your workplace Your workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network
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can improve the temperature prediction, the predictive accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including
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research results at international conferences and prepare scientific publications Your Profile Master’s degree in physics or a closely related subject Solid background in quantum many-body theory and/or
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workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network: https://redileep.eu
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engineering, chemical engineering, electrochemistry, physics, applied mathematics, computational engineering or a related discipline Sound knowledge of numerical modelling and physics-based battery
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background in mechanics and computational engineering. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include
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, Materials Science, Computational Chemistry, Chemical Physics, or a closely related field. Experience with molecular simulation, machine learning, or related computational methods for molecular or materials
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. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include solid mechanics, mechanical engineering, computational
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Apply online now : https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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The Department of Physics at Umeå University ( https://www.umu.se/en/department-of-physics/ ) conducts strong research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy