Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Engineering for Sustainable Development Research Centre, the Energy and Bioproducts Research Institute (EBRI) and the Aston Institute for Membrane Excellence (AIME) are seeking to appoint three
-
neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
-
interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
-
engineering and data visualisation, demonstrating innovation in the development of new approaches for data visualisation dashboards to ensure each product is intuitive, scalable and available for mobile
-
of the SPARK Innovation Accelerator, a key part of the wider SPARK Global network. You will be responsible for establishing and growing the East Midlands programme, building a strong cohort of translational
-
The Applied Mathematics Group in the School of Engineering and Innovations is seeking to appoint a part-time Teaching Fellow, for a fixed term of 2 years. Hours of work shall be set annually prior
-
fellowships are funded by the British Council under the UK’s International Science Partnerships scheme. The fellowships programme aims to provide the selected early career researchers with a strong foundation
-
Multidisciplinary Centre for Neuromorphic Computing. The revolutionary project will see scientists use human brain stem cell clusters (organoids) on microchip arrays to push the boundaries of neuromorphic
-
conference presentations. You should hold (or be near completion of) a PhD in Chemical Engineering, Environmental Engineering, Materials Science, or a related field. Essential skills include hands
-
(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation