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Field
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Artificial Intelligence and assistive technology, we aim to be at the forefront of equipping key stakeholders to identify, explore, and scaffold opportunities for strengths-based approaches that allow
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry
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writing and electronically and prepare proposals and applications to external bodies. Applicants will possess, or be nearing completion of a relevant PhD, or possess an equivalent qualification/experience
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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through high-quality publications. Desirable Criteria: 13. A PhD (or be close to submission) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial Intelligence, or a
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encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic Biology, Molecular Plant Pathology
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will have a PhD (or close to completion) in engineering, materials science, physics or other closely-related disciplines. You will be a highly motivated and responsible researcher with strong curiosity
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Directorate: School of Engineering & Physical Sciences Salary: Grade 7 (£36,924-£46,485) Contract Type: Full Time (1FTE), Fixed Term (18 Months) Rewards and Benefits: 33 days annual leave, plus 9
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new