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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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& Computer Science at the University of Bayreuth is currently seeking to appoint a Full Professor of Analysis at salary grade W3 to commence on 1 October 2026. This is a permanent civil service position. We
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training program in and beyond the fields mentioned above. REQUIREMENTS: An ambitious Ph.D. student with strong interest in working in our multidisciplinary team A state examination degree in pharmacy or
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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research program for the next 6 years. Furthermore, applications should include contact details for their current supervisor and at least two senior, high-profile scientists with no conflict of interest who
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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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enthusiasm for working in an interdisciplinary and international team. This position has a fixed term, depending on the requirements of your study program. What we offer: Work-Life-Balance Flexible working