265 parallel-and-distributed-computing-phd positions at University of Manchester in Uk
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/Rochdale. CEAMS is a multimillion InnovateUK funded programme, part of the Innovation Accelerator pilot of £100m+ research funding from the government’s Levelling Up plan across 3 regions: Greater Manchester
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care deeply about career and personal development, offering a structured induction programme for new staff, an annual performance and development review, staff training for all career stages and
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The overall aim of this project is to develop a real-time monocular vision system for measuring bio test-tube heights in a rack and alignments in the space-defined labware carriage. The vision system, including a suitable camera and an embedded system, will enable real-time acquisition of images...
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. The programme builds on the success of the Department and of the Centre for Digital Trust and Society in work relating to online harms, digital technologies and cybercrime. We are looking for a person with
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industrial age, to a team building what comes next, the University of Manchester has been redefining what’s possible for nearly 200 years. From splitting the atom to founding the modern computer, our legacy
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get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank
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including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major
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to a well-supported research programme while gaining broad technical experience and developing your career in experimental neuroscience. The successful candidate will also have opportunities
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DTP’. Specify in the funding section of your PhD application form that you wish to be considered for the EPSRC DTP.Your application will then be considered by a departmental funding panel. Closing
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This post provides an exciting opportunity to contribute to a Cancer Research UK funded programme of research to improve access to lung cancer early detection for individuals with intellectual