441 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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Swansea Website http://www.swansea.ac.uk Street Singleton Park Postal Code SA28PP E-Mail O.Hassan@swansea.ac.uk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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Supervisors: Prof. Jeremy Brown Prof. Bart Hoogenboom Abstract This project explores a novel therapeutic strategy for Acinetobacter baumannii, a top-priority AMR pathogen, by investigating the synergistic effects of monoclonal antibodies and colistin. Building on extensive preliminary data, the...
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Supervisors: Dr Lucy van Dorp Prof Joanne Santini Abstract Phages - viruses that infect bacteria - are rich sources of molecular diversity with potential applications in antimicrobial discovery. This project will use large-scale metagenomic mining to uncover novel phage-host associations and...
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-of-the-art analytical and fabrication facilities at UCL Chemistry and the Royal Institution. Both supervisors are active in national and international scientific communities, providing excellent networking and
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bioprocessing This training will prepare the student for careers in biotechnology, pharmaceutical manufacturing, or academic research. Research Environment: The project is hosted in UCL Biochemical Engineering
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ . The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply
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will be translation of research into real world impact and providing evidence for policy and practice. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/suicide
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al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN
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Website https://www.manchester.ac.uk/ Street Oxford Road Postal Code M13 9PL E-Mail lucas.cordeiro@manchester.ac.uk Phone +44(0)161-275-8081 STATUS: EXPIRED
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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy