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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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52 Faculty of Chemistry Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2027 Reference no.: 4564 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom...
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an available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, epidemiology, engineering, statistics and applied mathematics with experience and
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available option. Applicants with a range of academic subject backgrounds are welcomed, including natural sciences, engineering, statistics and applied mathematics with experience and/or growing interest in
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. To address these questions, we combine a series of interdisciplinary approaches ranging from experimental embryology and fluorescent microscopy to mathematical modelling. The lab is highly interdisciplinary
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Durham DH1, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: Mathematical Sciences Appl Deadline: 2025/07/16 11:59PM (posted 2025/06/23, listed until 2025/12/23) Position
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networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity rules which enable effective learning in large and deep networks and is consistent with
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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Postdoctoral Research Associate ( Job Number: 25000740) Department of Mathematical Sciences Grade 7: - £38,249 per annum Fixed Term - Full Time Contract Duration: 24 months Contracted Hours per Week
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI