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the Department of Energy Sciences. At the division, we conduct research in various fields, including research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows
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inverse design, optimization, and/or machine learning for designing and optimizing devices in integrated photonics, which will be subsequently fabricated and tested by our experimental partners in Metapix
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, optimization, reinforcement learning, and estimation. You will mostly work on mathematical modelling, theory development, algorithm implementations and simulations, but the work may also cover physical
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Faculty of Medicine in order to optimize the conditions for preclinical and clinical translational research, research strategies and development, as well as education on both undergraduate and postgraduate
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appropriate active compounds, optimizing ink properties such as rheology, drying time and stability, studying interactions between pigments, binders and additives, and developing and testing environmentally
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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primarily concern pharmacological modelling aimed at developing improved tools for optimizing clinical drug therapy (Model-Informed Precision Dosing), as well as tools supporting drug development. You are
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of the position is to develop the independence as a researcher and to create the opportunity of further development. The research tasks include the optimization of cultivation processes and freeze-drying
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potential to lead to the next generation of optimal bioinspired materials. In particular, the candidate will work on: i) commissioning and establishing this novel technique, granting the opportunity
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the last three years prior to the application deadline Strong expertise in at least one of the following: power system optimization/digitalization, or power electronics hardware. Experience in digital