721 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" positions at University of Oxford
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crucial in assisting the team to adapt to these new working methods. In collaboration with the Team Leader, you will develop roadmaps and vision boards, manage backlogs, and plan for long-term work
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wellbeing, development, and aspirations. Apply now to become part of our extraordinary legacy. Estates Services manages the University’s estate - one of the most iconic and diverse anywhere in the world. Our
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Are you a Donor Relations Officer who is passionate about delivering outstanding donor care and gift stewardship? Do you enjoy developing effective systems and managing projects? Join our dynamic
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the University’s Focus programme. They will skill and empower other team members to enable smarter, more efficient working, to respond to current challenges and to promote positive change. The successful applicant
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change impact social resilience, and exploring future trajectories for food system transformations. You will be able to develop your own research ideas and collaborate with members of the team and other
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programme in this area. You will be at the forefront of recent developments within your field, and your work will contribute to national debates about how to improve stability, experiences and outcomes
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research groups. • Participate in professional development and attend courses for specialist technical development. Selection criteria: • Hold a first degree in biological sciences
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and Demography, as well as the undergraduate degrees in Human Sciences and Philosophy, Politics and Economics (PPE). The candidate will be able to develop and deliver new option modules within
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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: • Develop biorecognition elements towards protein and small molecule targets (i.e., with protein and/or nucleic acid binders). • Validation of generated biorecognition elements using start-of-the-art