628 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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further information about the group’s work and publications at http://osbornelab.group.shef.ac.uk. Enquiries should be directed to Colin Osborne c.p.osborne@sheffield.ac.uk. Please apply for this project
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are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication skills. The Gravitation and Cosmology Group at Sheffield
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AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Mohammad
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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Interacting dark energy models in light of cosmological data School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof Carsten van de Bruck Application Deadline
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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acids institute (https://sheffield.ac.uk/nucleic-acids) and the centre for Single Molecule biology (https://smash.sites.sheffield.ac.uk/), providing additional expertise. This project will contribute
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Overview Data Connect (https://sheffield.ac.uk/data-connect ) is a strategic priority initiative by the University of Sheffield and is one of the University’s Centres of Excellence. It has direct
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the field to inform farmers of varying soil conditions through traditional remote sensing techniques. For further Information, please email p.stowell@sheffield.ac.uk or look at the University’s website: https
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to be made without this information. References Jon Slate: https://www.sheffield.ac.uk/biosciences/people/academic-staff/jon-slate Soay Sheep Project: https://biology.ed.ac.uk/soaysheep View DetailsEmail