163 software-formal-method-phd Postdoctoral positions at University of Oxford in United Kingdom
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thermodynamics. You should possess a relevant PhD/DPhil (or be near completion). Experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures is essential. As is excellent
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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new phase microscopy hardware to provide real-time feedback on the polymer network during laser processing. About you You should possess (or be near to completion) of a PhD in optical engineering or a
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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Harry Anderson for a period of 18 months. The project involves organic synthesis, metalloporphyrin coordination chemistry, spectroscopy and physical organic chemistry. About you Applicants must hold a PhD
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and sports clubs for those looking for more than just a great place to work. About you Applicants should hold (or be close to obtaining) a PhD/DPhil in a relevant field, with significant relevant
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
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-defined disease states and is funded by ERC. Find out more about the Aye research and group at: https://www.chem.ox.ac.uk/people/yimon-aye About you Applicants must hold a PhD in Chemistry, Chemical Biology
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore