274 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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researcher with a strong interest in optical fibre technology to work on the UK’s Engineering and Physical Sciences Research Council (EPSRC) funded Programme Grant, HiPPo (Smart Fibre optic High-power
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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graduate teaching, supervise postgraduate research, exercise academic leadership, and pursue an active programme of original scholarship within the field. This post is designed to ensure continuity and
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(PHES) is seeking to appoint a Research Fellow to contribute to the UKRI-funded Local Health and Global Profits programme, a national research consortium led by the University of Bath and involving
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scholarly work and familiarity with at least one programming language. You’ll be the kind of person who thrives working across multiple organisations, teams and disciplines. If you’re driven to create
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score matching. Other relevant analytical skills in advanced data wrangling and programming skills. Good programming skills in Stata or R. Proven ability to meet milestones according to project timelines.
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modelling reduced‑order or low‑order modelling scientific programming (e.g. Python, MATLAB, etc.) You should be able to work independently and collaboratively, communicate your research clearly, and
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modelling reduced‑order or low‑order modelling scientific programming (e.g. Python, MATLAB, etc.) You should be able to work independently and collaboratively, communicate your research clearly, and
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Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly
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highlight how your experience and research interests are relevant or transferrable to studying AGN host galaxies and how you plan to exploit data from LSST, Euclid and 4MOST for such studies. Informal