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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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, and Munich. The role: The position aims to develop predictive computational models of epigenetic dynamics, in close collaboration with Prof Rob Klose’s experimental group (Biochemistry, Oxford
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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’. The post holder will be a member of Prof Kylie Vincent’s research group and will work on developing bio- and chemo-bio catalyst systems for transformation of biomass derived chemicals into valuable diols and
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the UK PI Dr Richard Brown (Durham) and Co-I Prof Paul Brennan (UCL), Co-I Prof Patrice Carbonneau (Durham), and Co-I Dr Silvio de Angelis, and Prof Jim McElwaine (Woods Hole, USA). The project involves
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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=pubdate&size=200 ) for publications from the PI in this and related fields. The post is fixed term for 36 months, and the successful candidate will be working with Prof Martin Cann (PI; Dept of Biosciences
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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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research direction initiated by Prof. Mikko Möttönen is currently funded by Jane and Aatos Erkko Foundation. Your role and goals You are expected to carry out research on the scientific steps required