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Field
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for success: Applicants should have a PhD in synthetic chemistry (or have submitted a PhD thesis prior to taking up the appointment). Possess a deep interest in the design of new catalysts and/or catalytic
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The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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The post holder should have a relevant PhD in Mechanical Engineering, preferably in positive displacement rotary machines or demonstrate that they are submitting PhD in the area. The post holder should have
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flexible working patterns. Your skills and attributes for success should include both a PhD and significant post-doctoral experience and publications in: fungal pathogen biology, including CRISPR-mediated
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be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With proven
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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driving the project, generating ideas for future experimentation and identifying key drivers of success for the project. Facilitate collection and processing of clinical samples (This includes developing a
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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical
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, and robust communication links for operation in complex biological environments. The role involves advanced electromagnetic modelling, system-level simulation, and experimental validation to achieve