78 programming-languages-"the"-"Humboldt-Stiftung-Foundation"-"U" Fellowship positions in United Kingdom
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(STFC, Daresbury), Prof. Jonathan Tennyson (University College London) and Prof Michael Charlton (Swansea). The Research Fellow will work on the development of methods and computer programs adapted
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource
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genomics is also essential, as is experience in scripting and/or programming using languages such as Bash, C, C++, or Python. What we offer Appointment as Research Fellow is dependent upon having been
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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) in one or more of the following areas: Quantum machine learning, Quantum algorithms, Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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programme in the UK from any other sources. Meet the English language requirement of the UK HEI. Have a background or a proven interest in AI foundations and its application in civil and environmental