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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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We are seeking a computational glycobiologist to join a multidisciplinary project developing next-generation enzymatic tools for antibody glycoengineering. The role will focus on applying state
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. The School of Mathematics
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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new
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) Application Deadline 19 Mar 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Department of Psychology at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London. This innovative programme aims to develop an AI‑enhanced version of CIRCuiTS, an evidence‑based
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well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject has been listed among the world’s top academic subjects by Shanghai
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Fellows Identify and undertake a programme of professional development, including further training in research methods and other transferable skills Contribute to research inclusion activities Develop and
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European partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between the academic and industrial partners, to research the self