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vitae (including academic transcript and publication list), a cover letter outlining their research interests and preferred project theme, and the names and contact details of two academic referees
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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the research group (e.g., organising our weekly meetings, contributing to our social media accounts, administering internal group information) This is part of your existing profile: Completion
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(william.willats@ncl.ac.uk) To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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. They therefore contain critical information on the nature of the volcanic system, immediately prior to hazardous explosive events. Understanding them will generate critical information on the transition between
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working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to applicants eligible for UK home
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to ascertain whether they correspond or can be judged to be equivalent to the Danish level. For further information, please refer to the website of the Ministry of Education and Research: https://ufm.dk/en
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Science at University of California, Los Angeles, invites applications for part-time positions as a Visiting Researcher. These areas include, but are not limited to, Artificial Intelligence, Computer System Architecture
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Job Description AI has begun to transform molecular discovery and design for proteins, DNA, RNA, small molecules and more. Yet many outstanding challenges in health and sustainability remain data