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development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide an exceptional
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incorporated into cellular function. We are now looking for a postdoc with expertise in IDPs and NMR that can help us study these systems in more detail. Training will be provided in NMR, programming methods
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30 Faculty of Catholic Theology Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2031 Reference no.: 4021
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45 Faculty of Philological and Cultural Studies Startdate: 01.10.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2028 Reference
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40 Faculty of Historical and Cultural Studies Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.01.2026 Reference no.: 4163
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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. The role will be based at Douglas House, Department of Psychiatry, Cambridge, and in Oxford, at Akrivia Health (where the postdoc will be seconded to), with the option of working flexibly for one/two
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analysis algorithms for the observation and interpretation of existing and new spectroscopic data of exoplanet atmospheres. Experience on cloud/haze microphysics modelling and large scale simulations is
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal
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, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We