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longitudinal project on violent youth radicalization and conspiracy belief, conducted by an interdisciplinary team spanning forensic youth care sciences, developmental psychology, sociology, and criminology
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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week over 25 weeks) offer flexibility while ensuring close collaboration with the research team and schools throughout the project. Closing Date : 15-Aug-2025, 11:59:00 PM Disclosure and Barring Service
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interactions, such as the demand for agricultural products from regions like the EU. This research will inform the design of effective and equitable environmental policies. Key responsibilities: development
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, generating tangible impact to improve emission reduction and polymer waste management in the UK. This PhD project seeks to build on successful proof-of-concept research on sustainable polymer biodegradation
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with Wigan Council. We are seeking a high-quality applicant who will become an embedded researcher with the Public Health team at Wigan Council and who can strike an effective balance between undertaking
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include: Processing and analyzing TMS data Contributing to scientific publications and project reports Collaborating within an interdisciplinary research team Excellent written and spoken English skills
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materials to advance the potential of biopolymers in various applications. Project description Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as
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Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg. Chalmers is dedicated to improving gender balance and actively works with equality projects, such as
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to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them for downstream tasks. In this project, you will develop novel unsupervised machine learning methods