1,717 data-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions
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on your appointment. Start of fellowship: 1 September or 1 October. Funding Net scholarship amount: identical to the last net salary of the main activity. More information www.fwo.be Official & binding
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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experience. Click here for information and advice on writing an effective Supporting Statement. Applicants must also provide a research plan outlining proposed work during the Fellowship and how this will
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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applications, while the candidate working on Deliverable 2 will apply theoretical physics and statistical methods to LISA data analysis. The work will be carried out under the supervision of Assoc. Prof. Germano
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with the aim of developing a standardised multifaceted battery that captures the dynamic trajectories of children’s foresight capacities. Your primary responsibility will be pilot testing and data
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applicable, desirable criteria listed in the Candidate Information on our website. This post is available for 18 months. Fixed term contract posts are available for the stated period in the first instance but
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clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. Fixed term contract posts are available for the stated period
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context