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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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less than eight semesters, three references are required; please use the official DAAD template [doc-Datei] and ask your professors to email the confidential document to the GSPoL. Step 2: personal
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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animal models to neuroimaging and computational approaches. Research in a translational setting In addition to traditional PhD positions, IMPRS-TP offers a unique integrated PhD/residence program in
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development of alternative methods to animal testing for biomedical and toxicological applications Establishment of 2D cell culture and 3D organoid models and integration to microphysiological systems in
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change in ultrafast optics pushed, among others, by DESY, one of our research topics focuses on the development of ultra-short pulse Ytterbium lasers employing multi-pass cell post-compression. In close
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facilities near Berlin and Potsdam a pleasant and appreciative working atmosphere flexible and family-friendly working time model and the possibility of mobile working (up to 50% of working time) subsidy for a
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life balance we offer flexible working hours, variable part-time, job-sharing models and participation in mobile work (up to 50%). You will benefit from our family-friendly and collegial atmosphere, our
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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features allow overcoming such limitation? The PhD project will be largely experimental with some modelling aspects, and will begin with an identification of a set of research questions based on a detailed