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Field
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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FieldComputer scienceYears of Research ExperienceNone Research FieldMathematics » AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria -- PhD in computer science or applied
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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team and the School of Education, Communication and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and
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, pharmacogenetics/genomics, functional genomics, structural variation analysis, cancer genetics, human phenomics, and genomic medicine. Applicants must have an M.D. or Ph.D or equivalent degree. Research
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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: to support/assist the research group, research within the subject area cosupervision of degree projects and PhD projects assist in seeking external research funding collaboration with industry and
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, including industrial engagement and project planning. Essential Criteria A degree in Engineering or a related subject. A completed (or near-completion) doctorate (PhD or EngD), or equivalent industry
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Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be