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Fixed Term until 31/03/2026 The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve complex engineering and environmental challenges
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a role model and fostering an inclusive working culture. Person Specification PhD, or close to completion, in a relevant, quantitative field, e.g. meteorology, machine learning, climate science
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dynamic research environment Job Requirements PhD in Polymer Science or Materials Science Specialization in plastic compounding, carbon fibre reinforcement, and nanomaterials (graphene and 2D materials is a
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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legislation. Procedure Reference: IT137-25-329 I - Legal admission requirements I.I - Grant Recipients: Masters in Mechanical Engineering, enrolled in the PhD Program in Mechanical Engineering. Knowledge in
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background, as demonstrated by past publications, accomplishments, and references. Candidates with strong background in either computational or experimental biology (or both) will be considered. The successful
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at Harvard. For further information, please contact ydu@seas.harvard.edu. Basic Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering or a closely related field Additional
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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Postdoctoral Fellowship: Community-Engaged Research (CEnR) - (250000S6) The University of Maryland School of Pharmacy, Department of Pharmacy Practice, Sciences, and Health Outcomes Research’s