470 parallel-computing-numerical-methods-"DTU" Postdoctoral positions in United Kingdom
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will also inform on the connectivity and circuit level of understanding between frontal and temporal lobe regions using innovative approaches being used by the clinical group in parallel with
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for the MSc and MPhil in Visual, Material and Museum Anthropology (VMMA) postgraduate degrees. The programme consists of a one-year MSc and a two-year MPhil degree that focus on theories and methods within
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System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
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Sciences Institute https://www.dur.ac.uk/bsi/, which act as cross-campus focal points for activity in this area. These also embed strategic links to numerous companies with interests in soft matter
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to participate in collaborative work Desirable criteria Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations Good numerical skills Experience in field-theoretical methods
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We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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mechanism design. The project will involve close collaboration with project teams at Imperial College London, the Edinburgh Parallel Computing Centre (EPCC) and the Luxembourg Institute of Science and
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three