63 parallel-and-distributed-computing-phd uni jobs at Manchester Metropolitan University
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for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional
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Psychological Society and hold a PhD or equivalent Level 8 qualification in Psychology. Application Process To apply, please submit a CV and covering letter via the application portal. Your covering letter should
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investment About the Role We are expanding our portfolio to include a pre-registration children's nursing programme, launching in September 2027. We are seeking a qualified and experienced children's nurse
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competitive pension scheme. You will also get access to retail discounts, an Employee Assistance Program, cycle to work scheme, plus many more rewards and benefits. How to apply: Applications are strictly via
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accurate records from student application through registration to programme completion. Provide apprenticeship reports and initial analysis to underpin operations and update management and key stakeholders
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impact from the research findings, including supporting the development and launch of an online teacher resilience toolkit. About you Applicants should possess a PhD in either Education or Psychology and
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during term time under the direction of the Programme and Year Leaders. Successful candidates should demonstrate evidence of teaching in Architecture at undergraduate and/or postgraduate students and will
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care Experience working effectively within a team Ability to work independently and use initiative GCSE-level education or equivalent Competence in maintaining accurate records and using computer systems
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channels and co-ordination of an international-specific communications plan. Manage a rolling programme of creative rich media content to support the international student recruitment journey. Develop and
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. This cross-disciplinary centre will combine academic and technical expertise with advanced computing capabilities to enable research at scale – from the processing of large, complex data sets to the training