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probabilistic forecasting, with the potential for policy relevance. Applicants should have (or be close to obtaining) a PhD in climate science, climate modelling, geophysical fluid dynamics, or a closely related
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fellowship in:Pre-Salt Static-Dynamic Integrated Reservoir ModelingRequirements: PhD in Petroleum Engineering or similar areas, with knowledge on reservoir simulationFor more information, visit: https
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the workplace Ability to communicate findings and effectively work with sponsors and stakeholders. Required Qualifications Education/Experience A PhD degree in Food Science, Packaging Science, or a related field
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in a relevant science is required. Relevant Sciences include Clinical Psychology, Cognitive Science/ Psychology and Neuroscience
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criteria PhD in relevant subject area such as Developmental Biology, Anatomy, or a related field * BSc/MSc in relevant subject area such as Developmental Biology, Anatomy, or a related field Worked in a
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, or related (primarily social science) discipline. Knowledge of research in the intersection between social sciences and mental health. Strong experience in qualitative research methods (including interviewing
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-modality ultrasound analysis. The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is
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interpret high-resolution datasets that reveal new insights into disease progression, with the ultimate aim of identifying novel biomarkers and therapeutic targets. You will hold a relevant PhD/DPhil
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Based at: University of York campus The School of Physics, Engineering and Technology brings physicists and engineers together to push the frontiers of knowledge, foster innovation and meet the
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal