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computation, quantum communication, quantum foundations as well as quantum-gravity interface. Your future tasks: Active participation in research, teaching & administration, which means: • You are involved in a
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research team working at the interface between palaeobiology and evolutionary developmental biology of vertebrates for better understanding the evolutionary history of vertebrates (see also www.evomorg.org
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around chemical safety, circular (bio-)economy (e.g. in construction and textile), soil pollution, climate, and water efficiency, and feeds, at the interface of science, technologies and policies
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institutes, industrial partners and pursuing its own research projects. You will be mentored by the current Head of NMR facility - Cédric Guignard - and closely work together with him, with the objective
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
, and ensure reproducibility. Build user-friendly interfaces and APIs that enable radiologists and researchers to interact with complex image analysis algorithms. Translate computer vision and deep
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teaching programmes in medicine, life sciences, nursing, radiography and midwifery. Research at the department integrates basic and translational, molecular and computational approaches with a focus on
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damage different cell types in the central nervous system? Would you like to conduct research on neurodegeneration, neuroinflammation, and vascular involvement in the brain in an experimental environment
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underlying cognitive, emotional, social, cultural, physiological, and neurobiological bases, studying how the brain maintains or changes functionality over time, and probing its evolutionary origins and
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faculty is expected to develop, sustain, and lead an active, highly visible, externally funded research program with outstanding scholarship and to demonstrate excellence in teaching and mentoring students
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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation