77 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" "Univ" positions at UNIVERSITY OF SOUTHAMPTON
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function, directly supporting the logistics, operations, complex multi-stakeholder records and data management across the team. You will be supporting the delivery of strategic programme objectives, liaising
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interpreting data, communicating clearly with stakeholders, demonstrate initiative when problem solving and plan workload to meet deadlines in a highly deadline driven environment. Good communication, IT and
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relationships with stakeholders and influencers in the schools and colleges that are in the University of Southampton’s target market. Working with the UK Recruitment and Marketing teams, you will plan, deliver
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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
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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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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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Marie Skłodowska-Curie Doctoral Network criteria: you must not yet been awarded a doctoral degree and be eligible to enrol in a PhD programme mobility rule: you must not have resided or carried out your
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analytical and literacy skills on a range of topics. Your responsibilities will include: Supporting the key university process of programme and portfolio assessment and review, acting as the primary point
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research program is dedicated to the development of novel antibody-based therapeutics for the treatment of cancer and autoimmunity. This research has led to several therapeutics that are currently in
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sequencing data analysis, variant interpretation, and bioinformatics workflows used in research and diagnostic settings. Strong programming skills (e.g., R, Python, Perl, C/C++, Bash) and confidence working