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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
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, including projects that could support future fellowship or independent position applications. Applicants should hold, or be close to completion of, a PhD/DPhil in biochemistry, molecular biology, structural
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Prof. Luigi Rizzi (Collège de France), seeks to investigate the acquisition of French from a cartographic perspective, employing the Growing Trees model developed by Friedmann, Belletti, and Rizzi, and
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plasma-modulated plasma accelerators (P-MoPAs). The successful candidates will undertake research into the underlying physics and operation of plasma-modulated plasma accelerators (P-MoPAs), advanced
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of mice on regular basis. You must be able to perform effectively under pressure, demonstrate an excellent work ethics, professionalism and willingness to work flexibly. Experience with advanced analysis
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. The research is primarily translational in nature, involving both preclinical models and human sample analysis from clinical trials, and is carried out in close collaboration with the pharmaceutical industry
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inorganic materials synthesis, heterogeneous catalysis and advanced analytical techniques including synchrotron radiation experiments. Applicants should also have experience in catalyst production systems
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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that requires accurate sub-grid models (e.g., Particle-in-Cell or Vlasov codes) coupled to a hydrodynamic simulation. In general, charged-particle transport is a non-trivial task, not only because of the large