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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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of Mechanical and Aerospace Engineering and is available to UK students. The successful student will receive an annual tax free stipend set at the UKRI amount (£20,780 for 2025/26) and tuition fees will be paid
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HORIZON MSCA COFUND - 13 Fully Funded PhD Positions in Chronic Inflammatory Disease Research: MAP-ID
The Jagiellonian University invites applications for 13 fully funded PhD positions within the MAP-ID (Multilevel Approaches to Understanding Chronic Inflammatory Diseases) program, co-funded by
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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degree (2.1 +/MSc) in mechanical / civil / environmental engineering, physics or a related quantitative field; strong computing skills (Python/MATLAB/GIS); interest in transport or urban futures. Position
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will work on projects where research meets real-world challenges. This includes developing soil moisture maps to reduce damage from forest machinery, testing innovative methods to control pests in
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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university tuition fees. How to Apply: All applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Mechanical and Manufacturing Engineering’ under ‘Programme’. Please
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods