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Engineering, Production Engineering, or a closely related discipline. Strong expertise in materials, computational simulation, AI/ML, or manufacturing process engineering. Practical experience with plastics and
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the following qualifications: A PhD in Civil (Hydraulic) Engineering, Mechanical Engineering, or a closely related discipline. n.b. PhD thesis must have been submitted by start of the appointment. Strong skills
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Are you eager to perform quantum simulations in a lively, international research group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics
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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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who thrives on challenges. You will be a strong candidate if you have: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in metallurgy, galvanization
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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… Requirements Specific Requirements A PhD in Mechanical Engineering, Chemical Engineering, Applied Physics, Computational Science, or a related field. Strong background in numerical modeling and/or computational
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: A PhD degree in Materials Science and Engineering or a closely related discipline. A strong background in physical vapor deposition and chemical vapor deposition will be a clear advantage. An
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: A PhD degree in chemical engineering, mechanical engineering, materials science, physics, or a related field. Demonstrated experience with molecular simulation and/or process modelling and simulation