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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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(or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English (required) German language skills are desirable Interest in inorganic spectroscopy and metalloenzymes
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Description This PhD project relates with ongoing research projects in the area of renewable energy powered membrane processes, in particular solar-powered electrodialysis at IAMT. The removal
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, novel 2D and 3D processing techniques, and integration into devices. Various synthesis, manufacturing, and experimental techniques will be utilized and coupled to cutting edge simulations, facilitating
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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of glycans in biological processes in detail (Curr Opin Struct Biol, 2021). We have pioneered the tactic of glycosyltransferase “bump-and-hole engineering”, generating reporter tools for the activity
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Description The Karlsruhe Institute of Technology (KIT) and the University of Stuttgart offer within the German Research Council (DFG)-funded Research Training Group (RTG) 3076 “Sustainable
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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journal articles, as well as sharing your knowledge via teaching. Qualifications The candidate will hold a Masters in Chemical, Process, Environmental Engineering, or equivalent, and is a naturally curious