414 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Postdoctoral positions in United Kingdom
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and
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of the project will be to develop trajectories of dietary change towards healthier and more sustainable diets with a particular attention to alternative protein sources, and to integrate environmental, health, and
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embryonic fibroblast cells, immortalised cell lines, ES cells and organoid lines Use of various electroporation techniques to develop novel ES cell lines with known genetic modifications and the quality
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
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initially fixed-term for 12 months with possible extension. The Podium Institute constitutes a world-unique ecosystem within which to develop and validate new technologies for the diagnosis, prevention, and
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methods in schools, focus groups, interviews and surveys with students, parents and education stakeholders. The successful applicant will be expected to lead and develop qualitative research activities
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to obtaining an enhanced DBS check, as required for working with children (A) This role offers the flexibility of hybrid working, opportunities for professional development, and the chance to
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to the development and validation of the Doctoral and Academic Writing Scale in Nursing, Midwifery, and Allied Health Professions (DAWNMAHP). This is a six-month study funded by Oxford Health (BRC). Working closely
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly