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- https://www.kcl.ac.uk/jobs/088690-yeoh-tiong-lay-early-career-fellowship
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practical laboratory experience. Applicants should have a PhD* (or equivalent professional qualifications and experience) in Physics/Chemistry/Materials Science/Engineering and excellent experimental skills
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at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a team of PhD students, and other collaborators such as Pete Warden (Stanford, previously Google), and OnSemi. Note that the
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from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior
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retinal organoid cultures. Candidates should have a PhD (or about to be awarded) in a relevant life sciences area and a BSc/MSc in a related subject (e.g., cell biology, genetics). Knowledge of mammalian
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, programming (MATLAB/SIMULINK), and control, and should have a PhD in a relevant discipline such as mechanical, automotive, electrical/electronic, or control engineering. Additionally, experience in
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regions of the UK, and explore the regional outcomes of energy transitions. About you You will have completed, or be close to completing, a PhD in Economic Geography, business, economics or a closely
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on the effects of ART on cardiovascular and neurological heath. Contribute to analytical methods development. Contribute to supervision of PhD students. Colaborate with local, national and international
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from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being
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degree in Mechanical, Aerospace, Automotive Engineering, Computer Science, Business Management or closely related discipline. Obtained, or be about to obtain, a relevant PhD in Mechanical, Aerospace
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic