407 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions in United Kingdom
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attending relevant training and development courses. To contribute to fostering a collegial, supportive and respectful working environment which is inclusive and welcoming and where everyone is treated fairly
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Please be informed that we have amended the information under “How to Apply” in the Job Description. Applications are invited for a Postdoctoral Research Assistant: Black Hole Outflows. We seek
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(Colorectal)—as well as partners across the INTREPID consortium and industry. This is a full-time post, fixed-term for 2 years in the first instance. About You You will be an enthusiastic, highly motivated
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outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham
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at the cutting edge of discrete mathematics, combining theoretical innovation with potential applications in engineering and beyond. This is a fixed-term contract for 36 months. Informal enquiries can be
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We are seeking a full-time Postdoctoral Research Assistant in Computational Mechanics to join the Brassart Research Group at the Department of Engineering Science (central Oxford). The post is
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. More information about the research and group can be found here . About you Applicants must hold a PhD in Physical Chemistry, Physics or a relevant subject area, (or be close to completion) prior
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, aerosols, and their interactions, utilising satellite-based remote sensing. Potential areas of emphasis include cloud tracking and the analysis of data from the innovative EarthCARE satellite mission in
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About us The Department of Global Health & Social Medicine is a unique interdisciplinary community of students, teachers and researchers. Together, we explore the complex social determinants
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through Stochastic Control (a brief description of each these is as follows (additional details are in the further particulars): Learning with Structured and Geometric Models. We will apply tools from