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computational visualization. PhD must have been received within the past three years. The position is funded for a year with possibility of continuation based upon performance review, progress towards research
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Sustainable Materials for Consumer Products)¿. The part of the project led by Prof. Cooper will focus on two key objectives: 1) development of automated and robot-assisted methods for polymer synthesis
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Sustainable Materials for Consumer Products)’. The part of the project led by Prof. Cooper will focus on two key objectives: 1) development of automated and robot-assisted methods for polymer synthesis
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to develop a control framework that enables light and freely moving autonomous robots that can perform complex and versatile operations, involving highly precise and forceful physical interactions, in
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, Robotics and Manufacturing (School of Mechanical Engineering, University of Leeds) and a local industry partner. You will lead work on investigating and optimising the influence of compositional change
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vaccination or during infection. Analyze mass/spectral cytometry data by FlowJo, Cytosplore or custom scripting in R/python. Use automated robotic platforms for various steps in cytometry. Selection criteria
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14th May 2024 Languages English English English PhD Research Fellow in Machine Learning/Signal Processing for Planetary Ground Penetrating Radar Apply for this job See advertisement About the
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enthusiastic researcher with expertise in computational fluid dynamics (CFD), complex (non-Newtonian) flows, and machine learning knowledge to work with us in the Institute of Design, Robotics and Manufacturing
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 14th May 2024 Languages English English English PhD Research Fellow in Machine Learning/Signal Processing
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for Robots (Activator)” (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/W017466/1 ) under the direction of the Principal Investigator, Dr Christine Evers. The aim of the project is to enable robots