25 parallel-processing-"https:"-"FAPESP---São-Paulo-Research-Foundation" positions at KINGS COLLEGE LONDON
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. This role is full time and you will receive an indefinite contract. The interviews for this role will be held at King's College London on 4 June. About the Faculty: https://www.kcl.ac.uk/artshums About the
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you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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evaluations to assess the impacts of interventions on key outcomes, using experimental and quasi-experimental approaches Conducting implementation and process evaluations to explore how interventions operate in
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of what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel
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provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want
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budgetary and financial processes Experience of HR activity, including recruitment Experience of supporting process and system change Desirable criteria Educated to degree level or equivalent Experience in
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students, academic staff and key external contacts, providing a professional, supportive, responsive and personable service. The role supports processes across the whole academic cycle, ensuring accurate and
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maintain accuracy and effectiveness when processes or requirements change. Desirable criteria Experience using HR and Finance systems (e.g., PeopleXD, Business World) or equivalent platforms, with
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role