13 parallel-computing-numerical-methods Postdoctoral positions at King's College London in United Kingdom
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. Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations 2. Good numerical skills 3. Experience in field-theoretical methods (e.g. supersymmetry) 4
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently-funded EPSRC Programme grant, undertaking research into nanotheranostics, support
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analysing the intersection of the financial and fertility sectors as a key site of reproductive politics. Using qualitative methods, this project consists of three work streams analysing case studies that may
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research methods and techniques to work within established research programmes This is a full time (35 Hours per week), and you will be offered a fixed term contract until 31/08/2028. About You To be
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neuroscience or developmental biology or equivalent Excellent skills in mRNA techniques, especially HCR labelling Confocal microscopy skills Computational experience, including coding Experience in using
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access