10 parallel-programming-"Meta" Fellowship research jobs at The University of Southampton
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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or Planetary Science, Applied Mathematics, Physics, or a closely related field, completed by the start of the appointment. You should have strong scientific programming skills (Julia, Python, Fortran or C++) and
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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, national and international conferences You will need to work effectively with members of the team including researchers, programme manager, trial coordinator, administrative, database management and web
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programming. Experience with sustainable design principles is a plus. This is a unique opportunity to work on pioneering advancements in sustainable aerospace alongside industry experts. If you’re ready to make
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are the ability to plan and organise work independently and collaboratively; have excellent written English, and communication skills; with excellent problem-solving skills. What we can offer you The University
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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Fernández Castro by the EU’s Horizon Europe Programme. We invite applicants who hold a PhD or equivalent professional qualifications and experience in oceanography, or a related field, with experience in
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, and simulation. Strong programming skills (Python, MATLAB, or C++). Excellent problem-solving skills and a collaborative mindset. Experience with micro-Doppler or range-Doppler radar analysis