1,553 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" research jobs in United Kingdom
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team Collect, analyse and interpret data related to the research project Apply knowledge in a way which develops new intellectual understanding Take a prominent role in delivering the research goals
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mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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of research activities to the team to ensure that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible.. Establish
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that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible. Establish collaborative links with the core scientific personnel
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foundations for future clinical studies. You will design and run EEG experiments, integrate stimulation and recording hardware, and lead analysis of behavioural and EEG data. You should have: ¿ A PhD (or
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experimental and modelling components of the project. This work will require effective communication with the broader international team of researchers and project partners to share information efficiently
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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relationships. Purpose of role is to progress the research programme of ‘JD HMI:CPT’, responsibility is to Dr S M Dobbs. Role includes work with participants, laboratory work, archiving of specimens and data
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research