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thesis can be written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study PhD students can
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• Independent research and preparation of scientific literature and relevant data on the regional availability of biogenic resources • Adaptation and application of a linear optimization model to the specific
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Flexible working hours as well as a reasonable remuneration A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
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semester Application deadline The deadline for the DAAD EPOS scholarship via BIGS-DR is 31 August for the following academic year. For applicants with secured funding, the deadline is 1 May for a start in
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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Dynamics (W-0041 | all genders) in the broad field of climate dynamics. Areas include, but are not limited to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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reality can be restored and sustained in the face of increasingly polarized information environments and the widespread dissemination of misinformation. The project addresses two main research questions
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the project »MoGeSa« and develop a detailed Modelica-based simulation model of a floating wind platform for a 15 MW offshore wind turbine. As part of this, you will perform a large number of simulations using
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the lab to real-life applications, improving lives. B-cell responses are essential for humoral immunity against pathogens because they lead to the generation of antibody-secreting cells that produce large