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provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting
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stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and
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assessed at each stage of the recruitment process. *******Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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the possibility of extension to 4 years, working on the UKRI funded project ‘PROSPECT: Predicting psychosis outcomes from speech and brain connectivity’. The overall aim of the role is to develop innovative machine
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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) Positions PhD Positions Application Deadline 25 Sep 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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UiO/Anders Lien 16th October 2026 Languages English English English PhD in spatial genome organization and gene regulation PhD fellowship Apply for this job See advertisement About the position A
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and 5 of the delivery of its new MBChB course. You will work closely with the Dean of Medicine, and the Head of School, to operationalise the delivery of the curriculum and to complete the process of
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they are doing, how they are responding to the robot, whether they intend to interact, and how these behaviours are likely to change over time. This PhD project will explore human-centred multimodal world models