217 structural-engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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Experience in participating in research projects Didactic skills/experience in e-learning IT skills Knowledge of university processes and structures is desirable Experience in student support Excellent English
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, engineering and AI with industry scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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device fabrication. Applicants should possess or be close to obtaining a PhD in physics, chemistry, materials science or engineering. They should be highly versed in materials synthesis and
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productive feedback loop between materials design and device fabrication. Applicants should possess or be close to obtaining a PhD in physics, chemistry, materials science or engineering. They should be highly
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research designs, statistical analysis and analysis of wearable technology or associated data (e.g., GPS, IMU, force plate, video-derived data). Applied knowledge and understanding of the training process of
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to date technology and equipment. The vision of the School is to support the development of highly-skilled staff and learners who will deliver excellence across a diverse range of services in an evolving
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” funded by Korea Institute for Advancement of Technology (KIAT), led by Dr Changjae Oh. The objective of the postdoctoral research assistant position is to investigate and advance vision-language object
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research and engagement. You will be employed by the BU Faculty of Media, Science and Technology and hosted by the Centre for the Study of Conflict, Emotion and Social Justice (CESJ), a centre known for
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry