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Field
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), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a PhD (or be near completion) in a field such as AI, computer science, signal
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related to engineering specialized metabolite biosynthetic pathways Essential and Other Functions: (40%) molecular biology and microbiology (50%) Data analysis (10%) Prepare manuscripts and communications
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Type of Position Temporary Position Time Status Full-Time Required Education PhD or Professional degree Required Related Experience molecular, cellular, and in vivo breast cancer research Required
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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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responsibilities in research and teaching This is part of your personality: Completed doctoral/PhD degree in Nutritional Sciences, Sports Medicine, Public Health or a related field Experience in project leadership
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group
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requirements PhD in molecular biology, biochemistry, or a related field Extensive expertise in protein biochemistry and molecular biology Experience with animal experiments, ideally with FELASA B certification
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research