144 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions at University of Manchester
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analysis, often including ad hoc analysis to tight deadlines. You will lead on developing automated financial models and use financial analysis skills to improve reporting processes. Working with the Head of
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genotypes to affect mutation rates and the evolution of antifungal resistance. The successful candidate will join a lab group focused on understanding the factors driving the remarkable adaptability
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, mainly by applying CRISPR-Cas9 mediated gene editing. We work with several research groups in a variety of fields to support experimental model development and provide guidance in the application
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development of staff research activity across the two Hubs by providing general administrative duties to all activity linked with the Faculty’s Research Services (RS) team. To include: clerical support for
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demonstrate that they have a strong academic record of published research, development of toolkits or frameworks, and/or other recognised contributions society-focused artificial intelligence. Commensurate with
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proactively develop creative approaches to challenging research problems. Interviews are likely to be held between 5th and 16th January online via Teams What will you get in return: Fantastic market leading
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Transformations (JUST) Centre’s goal to develop equitable and effective research on low-carbon living, the applicant will investigate the role of social and built infrastructures – particularly community-based
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development, innovation, training and outreach Materials science is at the beginning of a necessary cultural shift that will see increasing use of materials informatics approaches. Critical to this is wider
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of Manchester. You will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in
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(PAR), partnering with local actors to develop and scale up transition initiatives. This work will be carried out as part of the Centre’s GM Place-Based Action Research Team (PART), led by Professor