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Field
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Molecular Biophysics, KCL), Professor Anne O’Garra (Immunoregulation and Infection Laboratory, Francis Crick Institute) and Professor Francesca Ciccarelli (Cancer Systems Biology Laboratory, Francis Crick
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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degree in Biological Sciences, Neuroscience, Pharmacology or Physiology and Biophysics required; Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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approaches are integrated with behavioural studies, large-scale data analysis, biophysical modelling, multi-omic profiling, and collaborative human fMRI studies to build a comprehensive understanding of brain
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of transitioning to a permanent research role Freedom to develop independent ideas within a clear and ambitious research program Strong institutional and grant support Access to advanced technologies: cryo-EM
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buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the
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tumour response to treatment can then bring this much-needed clarity, and implementing this understanding into computational tools can provide the potential for rapid clinical response to patients
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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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-performance computing. Additional experience in DNA biophysics, machine learning, and optimization is preferred. This job description intends to provide a representative and level of the types of duties and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration