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systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
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. The VIVO Hub for Enhanced Independent Living aims to leverage digital and robotic technologies to assist the ageing and disabled population in maintaining activity, physical health, and mental well-being
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the demographic profiles and contact networks of the individual simulation model will be drawn from Virtual WA: a geospatial analysis platform built in-house by A/Prof Cameron and Camilo Vargas at The Kids. Student
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interview process. RCUK eligibility: No Eligibility: Strathclyde Business School is committed to supporting a diverse and inclusive postgraduate research population. We make decisions on entry by assessing
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The studentship is with University of Salford and APOS Academic Supervisor: Prof Richard Jones Academic Co-Supervisor: Dr Carina Price Industrial Supervisors: Ganit Segal The studentship is fully
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discovery process, leading to more economic and effective drugs that can significantly improve the health and lifestyle of millions. The resulting methods are also expected to have an impact in materials
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process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Materials Science and Engineering (IMA
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synergy across mathematics, physics, and biology whose members are: Senja Barthel -- https://research.vu.nl/en/persons/senja-barthel Antoine Deblais -- https://www.deb-lab.com/ Joanna Ellis-Monaghan https
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component provided by the industry partner a professional development training program. A tuition fee scholarship for four years. Scholarships also include up to $1,500 relocation allowance. Supervisor: Prof
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-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic