42 data-science-phd Fellowship research jobs at University of Birmingham in United Kingdom
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Job Description Position Details School of Chemistry, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally
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own area that those with protected characteristics are treated equally and fairly Desirable: PhD (or near to completion) or equivalent industrial experience in relevant technology area e.g. water
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Job Description Position Details School of Chemical Engineering Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413
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Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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a role model and fostering an inclusive working culture. Person Specification First degree in Chemistry, Materials Science, Physics, Chemical Engineering or cognate discipline PhD in Nuclear Magnetic
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, cognitive science and multi-modal data integration. Experience, in particular in combining different modalities (longitudinal data, multi-omics, EEGs, NLP, etc.), is a clear advantage. In your online
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collaboration with Public Health England (PHE) at Porton Down. You will be a trustworthy, conscientious, innovative experimental scientist who has successfully completed a PhD in Materials Science, Chemistry
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model, and fostering an inclusive working culture Person Specification PHD (or near to completion) degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level
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PrecisionTox and PARC (Partnership for the Assessment of Risks from Chemicals), in close collaboration with the Phenome Centre Birmingham . These programmes are advancing the science and practice of chemical
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PhD (or near to completion) in relevant subject area (structural biology or biophysics) High level analytical capability Ability to communicate complex information clearly Fluency in relevant models