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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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The Parasite Biology Lab, led by Dr Gabriel Rinaldi at the Department of Biology is interested in the fundamental biology of parasitic worms that affect over 1 billion people worldwide. Both
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. As a result, we actively collaborate with experts in Computer Science as part of Royal Holloway’s Centre for AI. In return we offer a highly competitive rewards and benefits package including: Generous
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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Medicine, University of Oxford is to re-programme immune cells as part of a larger programme to develop novel therapeutics (viral vector and/or extracellular vesicle-based) for myocardial regeneration. Key
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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via
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About the Role Applications are invited for one Postdoctoral Research Associate with expertise in structural biology to join the research group of Aravindan Ilangovan at Queen Mary University
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informal event – you can drop in at any time. Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or