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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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. The PhD project will be in collaboration with the Leigh lab at Senckenberg, and part of a team of four complementary PhD students in FynFUN. It will be embedded in the TERRA Cluster of Excellence and
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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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) of the German Academic Exchange Service (DAAD). The structured graduate program is one of the core areas within the Munich Medical Research School (MMRS) and embedded in the Pettenkofer School of Public Health. A
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, cell biology, biomedicine, molecular medicine, human biology, or biochemistry for a PhD thesis. This project is embedded within the DZIF-German Center for Infection Research, thematic translational unit
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molecular tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries