175 algorithm-development-"Multiple"-"Simons-Foundation" 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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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 +3.5
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In this project we seek a motivated individual, with extensive mass spectrometry experience, who wants to develop a new instrument and apply it to the study of MDa. protein assemblies. You will be
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The University of Manchester invites applications for the post of Research Fellow (Global Research) to join the Mental Health Research Group within the Division of Nursing, Midwifery & Social Work, School of Health Sciences (DNMSW). This position offers the opportunity to contribute to a NIHR...
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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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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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priorities. Demonstrates ability to integrate organisational strengths and development areas into people plans in response to internal and external influencers. Analytical Thinking - Uses multiple sources
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is hands-on and requires the ability to develop and maintain relationships with multiple stakeholders, within a large, complex organisation. You will work collaboratively with the research community
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the sustainability of engineering plastics, with a focus on applying fundamental polymer science to industrially relevant projects. As we are recruiting for multiple roles, expertise in mechanical recycling, chemical
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applicant will develop a coordinated control strategy of multiple QBs to maximise their usage in GB’s network, and will investigate the optimisation of sizing and location of power flow devices in the network