10 parallel-and-distributed-computing-"Meta"-"Meta" research jobs at City University London
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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Research Fellow - OSMOSIS research programme (Internal candidates only) Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton
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the Department of Psychology at City St George’s, University of London. The role supports a major UK Ministry of Defence (MOD)-funded research programme that seeks to develop and implement systematic, evidence
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directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
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perspective of mental distress and/or of using mental health services to their work, as part of a team, to support an NIHR-funded research programme called PEGASUS. The programme comprises interrelated studies
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Partnership Training (APT): A programme of work to co-design and evaluate the effectiveness of training a person with aphasia and their communication partner to communicate better together” (NIHR Number: 208121
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Experience Proven experience in algorithm development to do physiological signal processing Experience in advanced computational techniques to assess and enhance signal quality Experience in machine learning
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Researcher in Data Visualization - REDEPLOYEES ONLY Job number SST00286 School / Service School of Science & Technology Department Department of Computer Science Location College Building Contract
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to appoint a researcher who brings a lived experience perspective of mental distress and/or of using mental health services to their work, as part of a team, to support an NIHR-funded research programme called
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spectroscopy Experience Proven experience in algorithm development to do physiological signal processing Experience in advanced computational techniques to assess and enhance signal quality Experience in machine