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of the Fellowship is to develop deeper metallurgical understanding via characterization and modelling to underpin the design of alloys with smaller societal footprints. Three roles are on offer to address
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for environmental management. This successful applicant will initially work on two major projects. Firstly, an exciting new UKRI-BBSRC funded research project to develop a digital ‘System of Systems’ for sustainable
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universities? We are seeking an experienced Research Fellow to join the Nutritional Epidemiology Group (NEG) to support an exciting new project: Evaluation of the School Fruit and Veg Scheme. The project will
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preparation of high impact peer-reviewed publications, as well as grant and project proposals. Kā pūkeka me kā wheako/Skills and experience Successful candidates will have: • A PhD degree in engineering
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://www.umaryland.edu/hrs/benefits/ For more information regarding benefits for postdoctoral fellows, please visit the UMB Benefits Summary . Job Summary: We are seeking a recent or prospective doctoral graduate (PhD
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experience supervising professional staff, managing budgets, and building high-performing, collaborative teams. Program design and facilitation skills, with the ability to plan, implement, and evaluate
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Heidelberg. The precise details of the project aims and direction are flexible and will be drawn by the successful applicant together with the PI (Dr Hadjivasiliou). About you Applicants should have (or be
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developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes The selected candidate will perform a variety of
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excellent and affordable care to patients. This mission is driven tirelessly by a staff united by a common identity – to support patient care through best-in-class medical practices informed by insights from
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics