79 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "UCL" "UCL" positions
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: Staff Support Service• Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters creativity and
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funded by CRUK Cancer Grand Challenges REWIRE-CAN programme. Key Responsibilities In this position you will be working as part of the Crick’s Bioinformatics & Biostatistics Scientific Technology Platform
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gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance We also offer great benefits. Please visit https://www.ucl.ac.uk/work
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CPD opportunities • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance As London’s Global University, we know diversity
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scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support
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posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl
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-sessional programme , either online or face-to-face. Please note that the vast majority of posts are online. Our large Pre-sessional Programme has been running for over 25 years and is BALEAP-accredited. It
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to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Customer
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Employee assistance programme: Staff Support Service Discounted medical insurance Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity
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large files e.g. research papers, thesis, publications etc. The appointee will contribute to the statistics and research methods training programme run by the Centre for Applied Statistics Courses (CASC