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of behavioural and neurophysiological data, as well as develop a novel standard database structure for the storage and distribution of neurophysiology data. The ideal candidate will have a master’s degree in
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Tenure-Track/Tenured Faculty Positions at Assistant and Associate Ranks | Department of Biochemistry
, structural biology, plant biology or computational biology. Applicants should have a record of research excellence and productivity, demonstrated potential or record of interdisciplinary collaboration and
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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English – written and oral We offer: a stimulating, world-leading research environment on biomolecular condensates embedded in a focused, interdisciplinary structured training program with close mentoring
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eucaryotic systems are invited to apply. Any of the subdisciplines thereof is eligible, including but not limited to: molecular genetics and genomics, RNA biology, protein science and structural biology
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protection, geotechnical & structural engineering • Low-carbon materials, construction management • Environmental science & maritime studies Electrical & Electronic Engineering (EEE) • Renewable energy, smart
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the newly established Chair of Algorithmic and Structural Graph Theory offers a position as
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, thenewly established Chair of Algorithmic and Structural Graph Theory offers a position as
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-edge research and innovation, LIST translates scientific insights into transformative technologies, intelligent data solutions, and innovative tools. You will join the Structural Composite Unit and the
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling