718 programming-"Multiple"-"U"-"U.S"-"Humboldt-Stiftung-Foundation"-"Prof" positions in United Kingdom
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We are seeking to appoint a skilled Research Assistant to join the Neuropsychological evaluation and rehabilitation in multiple sclerosis (NEuRoMS) project (www.neuroms.org ) based in Mental Health
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success of both initiatives. 3) On LEAP: Engagement in regular partnership meetings on the training and skills programme and meeting regularly with LEAP leadership and management team. Delivery of bespoke
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. The role ensures alignment with the university’s strategic objectives and involves overseeing multiple CRM-related projects, managing resources, budgets, and timelines, ensuring successful stakeholder
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; Organizing local and overseas exchange activities; Implementing scholarship programme; Enhancing academic support and serving as Class Mentor; Organizing and conducting classroom, laboratory and field-based
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amounts of time in Durham, given that many centre activities are taking place in multiple locations and online. Due to the reach and scope of the Contextual Safeguarding programme many GCCS members work
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in the discipline to work within established research programs. Highly independent and detail-oriented, with strong technical skills, high-quality sample processing, and the ability to manage multiple
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, within NDORMS. This position is part of the expanding OCTRU programming team, that ensures trial programming provision enables and proactively supports excellent research with high quality fully validated
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programme of research, teaching and clinical practice is embedded across all SLCPS departments. About the role We are looking for an ambitious Programme Manager with extensive experience of new business
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part of this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health care or
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring