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Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and
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employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process
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. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered
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inclusion in all its activities, processes, and culture for our whole community, including staff, students and visitors. We welcome applications regardless of age, caring responsibilities, disability, gender
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abroad Knowledge of university processes and structures Experience of supervising students Organization of academic events and conferences Experience in research project management What we offer: Work-life
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practices. You hold courses independently within the scope of the provisions of the collective bargaining agreement. Supporting the application process for projects and securing third-party funds. You take on
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. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 179922 . You will be required to upload your curriculum vitae and a supporting statement, setting
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already) and apply online. If you have any queries regarding the application process please contact Anastasia Nezhentseva. Email: an286@cam.ac.uk Telephone: (0)1223 330117 Please quote reference PF45896
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision