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of an adapted language enrichment programme. Due to funding restrictions, the successful candidate must be able to start the role before 30th Sept. This role is eligible for hybrid working with a
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Research Fellow (Internal candidates only) Apply online Job number SHMS00493 School / Service School of Health & Medical Sciences Department Language and Communication Science Location Myddelton
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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proficiency in at least one programming language (e.g. Python, Java, Rust, C/C++). We are open to discussing flexible working arrangements. To explore the post further or for any queries you may have, please
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programme in the UK from any other sources. Meet the English language requirement of the UK HEI. Have a background or a proven interest in AI foundations and its application in civil and environmental
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Researcher; Not currently in receipt of financial support or funding towards any other programme in the UK from any other sources; Meet the English language requirement of the UK HEI; Have a background or a
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a
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the ERA Chairs Call of the Horizon Europe Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside
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demonstrated experience in designing and analysing clinical trials and observational studies. Possess excellent written and verbal communication skills. Be proficient in using statistical programming languages