132 parallel-and-distributed-computing-phd-"Multiple" uni jobs at University of Cambridge
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degree aimed at professionals with at least two years of successful work experience in finance and a strong academic record. The programme is consistently rated number one or two globally by the Financial
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The Entrepreneurship Programme Coordinator at the Milner Therapeutics Institute (MTI) is an exciting opportunity for an individual to play a key role in coordinating entrepreneurial programmes
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Black British identities. At the project's heart is a Community Panel who will guide, shape and curate a programme of activities, events, exhibitions and other outputs. CUL is also collaborating with
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in external partnerships with industry. The Maxwell Centre offers Impulse, a 3 - month hybrid programme followed by alumni Masterclasses, mentoring and pitch event as a catalyst for both
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College Porter Salary: No less than £25673.83 per year Darwin is a welcoming community of postgraduate students and academics. Our beautiful riverside location provides a home in central Cambridge for students from over 80 different countries, studying for the full range of postgraduate...
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The University of Cambridge is seeking a highly motivated, organised and initiative-focused computational biologist to join a team of clinical, immunological and computational researchers within CG
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We are seeking an experienced and enthusiastic Cloud Engineer to be based at the Institute of Astronomy (www.ast.cam.ac.uk ) in collaboration with the Research Computing Services (www.hpc.cam.ac.uk
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multiple projects and work with senior academics. A Master’s degree (PhD desirable). Sensitivity to and understanding of the Catholic intellectual and ethical traditions. As well as a great salary and
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We are seeking an experienced and reliable individual to provide comprehensive administrative support to the IMS-MRL PhD and MPhil courses and teaching team to ensure the smooth and efficient
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging