315 evolution "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at University of Nottingham
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will not be accepted. Closing Date: 02 Feb 2026 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham/2026/research-assista… Requirements
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, computer simulations and machine-learning analyses. The University of Nottingham offers a wide range of employee benefits. More information can be found at: https://www.nottingham.ac.uk/hr/your-benefits/a-z
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of Chemistry may be found at http://www.nottingham.ac.uk/chemistry . Our university is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs
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development of thought and practice in relevant field. To establish a national reputation and regularly disseminate and explain research findings through leading peer-reviewed national publications (on a
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) will be enhanced by additional 15% payment. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Informal enquiries may be addressed to dave.butler@nottingham.ac.uk
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. Please quote Reference NHE270725X2. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a supportive, inclusive, caring and positive community. We
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Applications are invited for an ambitious Postdoctoral Research Associate/Fellow to work on the development of a portable cold-atom based accelerometer. The accelerometer will consist of a compact
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/or teaching development proposals and funding bids. The post holder will make a significant contribution to their academic unit via leadership and/or administrative management and/or co-ordination
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and
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al. (2024) – Workload assessment in robotic teleoperation (Scientific Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN