70 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" positions at Heriot Watt University
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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matches as required. Training schedule to deliver an effective and comprehensive football scholarship programme Reporting to: Performance Sport Manager Responsible for: Heriot-Watt University Football Club
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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-institutional, multi-disciplinary team Work closely with senior international stakeholders to deliver a challenge led programme of work Work as part of the broader Centre team to help organize events and/ or
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Responsibilities Plan menus and cook weekly Wednesday meals for students. Meal should consist of 2 dishes with one being a vegetarian option. Meals should also take account of cultural, religious & dietary
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is important. Have a strong ability to plan and manage their own time to consistently meet deadlines, whilst maintaining excellent research quality. Desirable Experience of pursuing external funding
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Student Experience Programme moving the Student Records system into Azure, Data & Insights, the procurement of a new virtual server infrastructure and the further development of our Certificate
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knowledge and experience conducting literature searches and data collection. Desirable Programming and statistical skills (especially R and/or Python). Experience and/or a demonstrable interest in graphical
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service colleagues to ensure timely completion of academic quality reports or analyses (e.g., annual monitoring reports, reviews for School Studies Committee). Plan and organise training events
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goals, anticipating any issues which need to be taken into account and using sound judgement to make decisions with limited or ambiguous data; Plan, prioritise and organise own work to agreed objectives