42 industrial-phd-"The-Norwegian-University-of-Life-Sciences-(NMBU)" research jobs at University of London
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Department: School of Physical and Chemical Sciences Salary: £38,182 per annum (if appointed with thesis submitted and PhD yet to be awarded) and £40,223 - £44,722 per annum (PDRA) (Grade 4
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industries. The CoSTAR National Lab Inclusion and Ethics Research Fellow is a key part of the Inclusive Futures team, working closely with the Head of Inclusion to deliver the Equality Diversity and Inclusion
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industry. The project will provide the opportunity for the successful candidate to travel to international scientific conferences and meet with international collaborators. This post will require a
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. This project, entitled, “Micro-manufacturing of tissue patterned organ-chips for accelerated deployment of new medicines”, is funded by EPSRC and supported by 6 industry partners. The project will develop
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the joint supervision of Dr Gregory Chass and Dr Devis Di Tommaso in the School of Physical and Chemical Sciences at Queen Mary University of London (UK). About You The ideal candidate should possess a PhD
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apply Overview About the Role This is a fully funded project for 2 years including PhD fees for a doctor in training interested in a career in academic dermatology to undertake a PhD. A third year of
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Candidate will be educated to PhD level or have equivalent experience. They will have experience and expertise in conducting mental health research including data collection and analysis, and publication
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PDRAs and PhD students, as well as undergraduate and masters-level project students. They will be based in the Royal Holloway University of London, Egham, and collaborate closely with the meteorite and
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involves working closely with team members with different research expertise, and also supervising current PhD students in the group. About You Candidates should have a PhD in mechanical engineering
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have a PhD in a numerate field with expertise in machine and deep learning methods, supported by high quality publications. Experience of applying such methods to healthcare data is an advantage