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skills. Strong statistical skills, particularly in experimental design and data interpretation, are highly desired excellent skills in English (C1 level or higher) What we offer: transdisciplinary
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mechanics and/or voiced speech production. Preferred Qualifications Ph.D. in Mechanical Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through
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are required to familiarize themselves with the research profile of at least one of the InfoMedia research groups About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and mobility
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to interact with data engineers and IT specialists for model integration. Experience in communicating results through project reports, technical notes or publications is considered a plus. Language skills
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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and research, and create programming that fosters dialogue around AI’s role in shaping the future. Postdoctoral Scholars will serve as the Initiative’s AI specialists, helping to shape the College’s
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family members; access to UA recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in