748 programming-"Multiple"-"Duke-University"-"O.P"-"U"-"FEMTO-ST-institute"-"U.S" positions in United Kingdom
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interactive learning. Specifically, you will design and implement a web-based graphical user interface (GUI) that enables real-time in-class interaction between students and teachers across multiple locations
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objectives aligned to the University’s 2030 strategic pillar ‘Talent for Tomorrow’. Working at multiple offices across City Centre and City South campuses, the post holder will be an integral member of
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, and experience analysing large volumes of immunological data from multiple assays is also essential. You will be proficient with the programming language R, or a related programming language such as
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of Pharmacy. You will plan, develop and deliver high quality and innovative teaching and assessments in collaboration with a team of academics to deliver a vibrant education to our students that can be
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multidisciplinary team of researchers. The work will involve estimating the health effects of economic outcomes at multiple stages of the life course using secondary data. These estimates will be incorporated
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within the Molecular Brian Mapping research group of Dr Sven Truckenbrodt at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at developing computational tools to handle, parse
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easter. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities
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administrative environment. What You’ll Be Doing: Supporting large-scale, complex change initiatives across the University. Developing and implementing effective change management strategies. Managing multiple
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Recruitment Strategy and Access and Participation Plan are met. You will be able to thrive in a team environment but also be able to utilise resources to problem solve independently. You will have a commitment
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
optimization. The research focuses on creating efficient design workflows, validating multiple additive manufacturing approaches, and developing scalable production methods that can support global deployment