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The Oxford Department of International Development (ODID) is seeking to recruit a Comparative Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a
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Data & Methods Postdoctoral Researcher. Reporting to Professor Masooda Bano, the post-holder will join a research team funded by a European Research Council (ERC) Advanced Grant, Choosing Islamic
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Researcher (Quantitative Methods) (m/f/d) 40 hrs./week Advertisement No. SB26-0125 We are seeking an outstanding Postdoctoral Researcher with expertise in quantitative methods, survey research and causal
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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon
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for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox. This is an exciting opportunity to conduct mixed-methods research
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motivated and innovative postdoc who wants to contribute to healthcare innovation. Are you excited about developing and implementing new radionuclide and radiopharmaceutical production methods? Then we warmly
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to contribute to healthcare innovation. Are you excited about developing and implementing new radionuclide and radiopharmaceutical production methods? Then we warmly welcome you to apply and hopefully join our
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Leverage computer vision, smart
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise