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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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eligibility: https://www.gov.uk/skilled-worker-visa The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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Systems (Mixed-Signal IC Design) Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in designing and testing Mixed Mode IC systems, working with and/or developing
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experts in biotechnology, mechanical engineering, software, and robotics. The candidate will have a broad remit to take leadership roles in the research team, including by co-designing new research
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detailing why you are interested in this job also answering the criteria questions. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408216/clinical
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, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . How to apply? Please submit your application through
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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detection of comorbidity and multimorbidity patterns, https://aristoteles-horizon.eu / ) developing novel artificial intelligence (AI) powered tools to assess and manage multimorbidity in patients with atrial
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all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality