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breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and
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is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and systems. Generally speaking, thermal runaway is a chain reaction
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quantitative genetics Expertise in the use of quantitative genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models
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within the Department, we develop and study new generations of electronics based on advanced semiconductor technology. In particular, we develop and characterize new generations of RF-electronics based
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process involve developing models for the components of both axial and radial turbomachines. A strong background in aerodynamic methods and tools of turbomachinery design is therefore required, which in
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development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and
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. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be
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. Special focus will be put on the development of microfluidic systems based on acoustofluidic chromatography and enrichment (trapping) of submicron particles, especially biological nanoparticles such as
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+ communities based in or rooted in Southern Europe. Collect and analyze high-quality data, both on digital platforms and offline. Develop your own research questions within the framework of the project
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on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular