176 algorithm-development-"Multiple"-"Embry-Riddle-Aeronautical-University" positions at University of Manchester in United Kingdom
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Overall Purpose of the Job We are seeking a Full Stack Software Engineer to develop an interactive application for designing robotic solutions from a set of mission and environmental requirements
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photogrammetry algorithms for accurately measuring labware alignments and heights in the carriage. Integrating the developed vision system into labware automation system to enable individual labware identification
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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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are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions. You will work with clinical and experimental data to develop innovative geometric
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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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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multiple tools to ensure OLAs, SLAs and KPIs are met. This is an on-site position, typically following standard office hours, with the expectation that the successful candidate will occasionally provide
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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networks involved in controlling the switch between monomeric secretion and fibril formation, and characterise an endogenously-tagged collagen mouse model developed within the lab. The project will employ a