262 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Tübingen-University" PhD positions in United Kingdom
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development opportunities, placements, additional funding and the London and the East of England Hub. CDA 1- Mapping Creative R&D in Art–Technology Ecosystems Creative Research & Development (R&D) is an
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chemistry, flavour analysis, rheology, sensory science, and data-driven modelling, alongside structured development in responsible AI use, industry-relevant decision making, and translational research
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an informal conversation about this role, please contact Dr Robert Shaw (robert.shaw2@ncl.ac.uk ) As part of our commitment to career development for research colleagues, the University has developed 3
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understanding of the current topics in the field. We are particularly interested in PhD studentship applications that seek to address: Development of new methodologies for the evaluation of Shoulder/Upper Limb
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research and administrative activities, within guidelines provided by the PI and in collaboration with senior colleagues, and contribute to wider project development. You will determine the most appropriate
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for continuous development through training courses offered by the University (e.g., coding skills, writing skills, etc), conference attendance and meetings with the industrial partner. This project will be
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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the potential to progress to a DPhil (PhD) in population health. The postholder will support day-to-day operations and contribute to the programme’s ongoing development, taking lead responsibility for several
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Senior Researcher to take the lead in the development of statistical and
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Illinois will provide unique insight into industrial corrosion challenges and support the development of adaptive, data driven sampling strategies to accelerate experimental progress. This environment will