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(NUS), conducts cutting-edge research at the intersection of Augmented, Virtual, and Mixed Reality (AR/VR/MR), Artificial Intelligence (AI), and Human-Computer Interaction (HCI). The lab has a strong
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Procedure (CPA), approved by Decree-Law No. 4/2015 of 7 January; and Statute of the Research Fellow (EBI), approved by Law No. 40/2004 of 18 August, in its current version published by Decree-Law No. 123/2019
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bibliography). 3. Provide one or two publications or writing samples, which may be from pre- or post-doctoral work, a dissertation chapter, or a manuscript in process. Publications are intended to gauge
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of stakeholder engagement and partnership working with organisations such as water companies. Knowledge of safeguarding and ethical processes related to working with children. We are looking for a collaborative
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respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous
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levels: professional courses, skills training and personal effectiveness. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational approaches applied to healthcare research (desirable) a peer-reviewed
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to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is
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, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch
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language processing, working with Professor Gibson, Dr Batista-Navarro and the wider PRISM team. About You We are looking for a collaborative researcher with advanced computational skills and relevant social science