379 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"IDAEA-CSIC" PhD positions in United Kingdom
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Academy’s Training Programme, with access to bespoke courses developed for Engineering PGRs, including sessions on career development after the PhD. The faculty has outstanding facilities and works in
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-wide scholarship programme, which provides a number of scholarships to outstanding Home and Overseas applicants on a competitive basis. Research in the McGonigal and Avestro groups focuses
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to decentralized systems, AI, cyber security, cryptography, or mathematics. Outstanding candidates with a Bachelor’s degree from a four-year undergraduate program are also encouraged to apply. Paper publication is
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. Funding This is a self-funded PhD, open to UK, EU and International applicants. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and
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be desk-based and will require programming skills. It will suit those who are creative and open to new ideas. Occasional visit to a case study area may be needed, though no field work is planned
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expertise or additional resource for a project.) You will contribute to a programme of research, funded by the Horne Family Charitable Trust, which aims to increase the evidence base on Domestic Violence and
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background in applied mathematics, computational mathematics, computer science, physics, or engineering is suitable. Basic programming experience (e.g., C, C++, Julia, MATLAB, Python, or similar) is necessary
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Reference Number 101226717 Is the Job related to staff position within a Research Infrastructure? No Offer
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anticipated that the selection process will take place in December 2025 or January 2026. This will consist ofan interview and a short presentation. We plan to let candidates know if they have progressed
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part