211 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at University of Nottingham
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website What Next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Your working hours will be 37 hours per week. Due
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offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of
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are tracked and ensure compliance information is available and up to date. You will also provide technical advice to stakeholders and will be the single point of contact for the Bio-support Unit ensuring
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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guidance to the relevant stakeholders, calculating budgets and data entry using the Research Management System. Support the RKE team as required in all aspects of research output including organising events
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what we can offer you, follow the link to our benefits website Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. Your
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to the frequency that the role holder will drive between sites and off campus it is desirable that a full, current driving licence is held to drive a University fleet vehicle. Further information on the experience
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understanding and process optimisation. The work will primarily feature the integration of high data-density reaction techniques, laboratory automation & robotics and kinetic/machine learning modelling