146 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at University of Manchester
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Type of award Scholarship Managing department School of Environment, Education and Development Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) Specified use
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mapping algorithms for governments in Sub-Saharan Africa. The PDRA will contribute to development of machine and deep learning mapping algorithms in one of the IrrEO’s case study countries (Nigeria
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considered for this project. Application form Closing date 14 March 2022 Decision date May 2022 Additional information ¿Multi-criteria Automatic Algorithm Configuration under Streaming Problem Instances
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, and assess irrigation investments. As part of the IrrEO project, the PDRA will lead the development and validation of national-scale irrigated area and agricultural mapping algorithms in two
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algorithms. Project title: Multimodal AI for Immunology Applicants are invited for the post of PDRA in Multimodal AI for Immunology. The post-holder will develop multimodal deep learning models to predict
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substantial University projects. We work across multiple sites and environments, from staff offices to specialist lab spaces, providing great customer support, technical excellence, and a friendly supportive
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surface glycocalyx in immune cell recruitment to the inflamed brain. The appointee will be responsible for: Routine sample preparation for mass-spectrometry based analysis of glycans and development of new
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About this Role HospitalityOnCampus wishes to appoint a motivated, enthusiastic and passionate person to assist with daytime and evening hospitality across multiple venues on campus. Individuals
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the Centre across institutions. They will play a key role in event organization, servicing the various Centre committees and working groups, and developing an active online presence for the Centre via the
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at the University of Manchester. The successful candidate will work at the interface of physics, chemistry, materials science, and AI, developing workflows for autonomous discovery. You may focus on experimental