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with biologists. You will report to the engineering lead on the project About the role The project will aim to develop fluid walls and associated automation workflows to enable microscale cell-based
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance. About The Role This is a Fixed Term post for 12 months working
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that writes and reads these modifications. The project merges several disciplines, complements ongoing lab efforts, and expands upon our recent discoveries in this area. The postdoc will have access to several
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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Goldstein FRS to work on experimental aspects of (a) the biomechanics of multicellular choanoflagellates and (b) the growth and mechanics of the extracellular matrix in green algae, supported by