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the opportunity to design, develop, and apply state-of-the-art machine learning techniques, including vision transformers (ViTs), graph neural networks (GNNs), and vision-language models (VLMs). You will work
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potential to produce world-leading outputs in Law and/or Legal Theory in relation to criminal law or justice, and/or in Criminology, and a demonstrably high potential to attract research funding
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of education programmes. About the role Applications are invited for a postdoctoral position in the group of Dr. Chiara Gattinoni — within the Theory and Simulation of Condensed Matter research group
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, particularly for sequence or structural data (e.g. transformers, graph neural networks, diffusion models) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong
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dissertation, and are waiting to have their viva defence)* Research experience with (i) organising and conducting interviews and (ii) qualitative approaches to data analysis and theory building Strong
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. Experience in asymmetric synthesis and the determination of enantiomeric excess. 2. Experience in using/applying density functional theory (DFT) 3. Evidence of independent funding
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detailed histology knowledge and experience to rapidly identify and rectify technical and processing issues. As part of the role, you will also train others on use of equipment and theory of the techniques
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skills in communicating with patients and colleagues Practical experience in undergraduate medical education demonstrating an understanding of pedagogical principles and learning theories Skilled in giving
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Europe or the Middle East and welcome expertise on a variety of theories, methods and perspectives. The successful candidate will be responsible for delivering high-quality, innovative undergraduate and