155 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of Manchester
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demonstrable and successful track record of independent and collaborative problem solving and who can foster a culture of team work, whilst being able to support and develop continuous improvement to process and
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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science skills development, innovation training and outreach The Project There is a major economic opportunity for Greater Manchester (GM) to fill the gap in companies able to provide sustainable materials
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The Coyte Lab group within the Division of Evolution, Infection and Genomics wishes to appoint a Research Associate to an exciting project exploring the dynamics and function of carbon-fixing
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cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be
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related subject area, will show evidence of a clear interest in and experience of teaching, and skills in and commitment to the developing the quality of the student experience. You will join a vibrant and
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of working in the laboratory environment. The post holder will be responsible for processing and analysing clinical samples (tumour biopsies, blood, stool and urine), developing state-of-the-art techniques
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to 0.4 FTE Duration of the Post This is a substantive post. There will be a probationary period of 3-4 years The successful candidate will be expected to undergo annual Performance and Development Reviews
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to the success of the researchers. This role will be within the Research Infrastructure and Platforms Team which comprises 25+ IT specialists developing and delivering a number of services to the University