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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key
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influence (ageing, amyotrophic lateral sclerosis, sex differences…) and in the analysis of single myofiber data sets. Importantly, the candidate will be required to use current and bespoke computational and
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conditions, with emphasis on robust computational pipelines in high-performance and cloud environments. The candidate is expected to publish results in high-impact journals, contribute to student supervision
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Associate post. Funded by UKRI EPSRC, the project “CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research” aims to empower distributed cloud computing applications
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structural geology or tectonics (especially crustal fault in South America) Familiarity with high-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and
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-performance or cloud-computing environments What we offer: Ambitious and varied tasks in a dynamic and international research environment State-of-the-art equipment Collaboration within the SEISCLIM project and
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completion of) a PhD in Computer Science or Mathematics. An ideal candidate has a research track record at a high international level (reflecting the academic age of the applicant) and experience with
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the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Reference: Ref.68.25.407
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academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic