472 programming-language-"St"-"University-of-St"-"St" Fellowship positions in United Kingdom
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Dependent type theory is a foundation of mathematics that allows us to mechanise arguments, and is closely related to higher category theory. It serves as that basis of programming languages and
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the impact of a large curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across
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Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Informal enquiries can be made to Dr Hazel Wilkinson, Deputy Director IDAI, email
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monograph. Description of duties Plan and manage their own research activity, as discussed with and approved by the Project Leader (Prof. Slavin), and meet objectives and deadlines in collaboration with
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Weekly Working Hours: 37 Fixed Term Contract: End Date: 2 years from start date Welsh Language: Not Applicable Job Description: Flexible working We are open to discussions about flexible working
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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’) with responsibility for the day-to-day project, budget and research activities. You will also undertake research including developing and fine-tuning large language models and topic modelling methods
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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable