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of new methods relevant for drug discovery analysis pipelines, trial design and operational efficiency. Other responsibilities will include helping with supervision of PhD students working on projects as
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Control.” The position is available for a fixed term until 31 July 2027, with the possibility of extension subject to funding. The research focus is on probing the impact of processing methods and
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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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administrative duties and provide guidance in machine learning methods to less experienced members of the research group, participate in the dissemination of research outputs, and carry out collaborative projects
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computational methods, and inn collaboration with permanent academics, help to mentor students undertaking masters projects and internships in the research team. The post-holder will have the opportunity to teach
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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project led by Professor Kam Bhui and Dr Roisin Mooney in Oxford. The project investigates methods to improve postpartum outcomes of severe mental illnesses in ethnically diverse mothers (POSIE) with
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. The group is well known for developing single-molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods