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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization
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at the University's campus in Edinburgh. The candidate will have the access to established university resources, and an induction programme will be delivered to the new appointee. Travel for data collection, events
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responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and completing documentation of experimental data in a timely fashion. Assists with monitoring inventory
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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an independent research program in the exciting field of nuclear astrophysics. Candidates with expertise in any of the aforementioned areas are strongly encouraged to apply. Qualified candidates may be considered
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support research activities under the direction of the principal investigator (Sara St George PhD). Dr. St George’s program of research is focused on promoting health, preventing chronic disease, and
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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interpretation of imaging results for physicians. Technical requirement for this job: 1. A solid understanding of MRI physics and imaging 2. Strong programming and data analysis skills https