729 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions in United Kingdom
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individual with strong laboratory and analytical skills and an enthusiasm for applying chemical knowledge to address environmental questions. Prior experience of programming is desirable. Eligibility
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skills with understanding of engineering design principles. Any experiences with CAD/CAM systems and programming are preferred. Funding Support The University promotes equality, diversity, and inclusion
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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Excellent English written and spoken communication skills The following skills are desirable but not essential: Previous study in Geotechnical Engineering or Structural Engineering Ability to program in
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programme at the University of Sussex Business School. Benefits: The PhD studentship is offered for a maximum of four years, beginning in September 2026, renewable on a yearly basis, subject to satisfactory
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Integrated PhD programme at the University of Sussex Business School. Benefits: The PhD studentship is offered for a maximum of four years, beginning in September 2026, renewable on a yearly basis, subject to
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, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 or equivalent. The studentships are supported for 3.5 years and include full Home or International
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radar systems. Finally, it will benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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frameworks. This approach is timely, as improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques