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. physics or applied mathematics). Knowledge & Experience (Essential & Desirable) A strong background in engineering or mathematics (Essential) Expertise in computational modelling (Essential) Working
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academic performance and grades at undergraduate level and/or Master’s level is considered essential. Knowledge & Experience (Essential & Desirable) A strong background in engineering or mathematics
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are essential. Desirable A graduate and postgraduate qualification in Electronic or Automation, or in a closely related area Industrial experience in an Electrical or Automation Engineering environment Teaching
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honours (2:1) degree in Engineering (e.g., Neural, Biomedical, or Electronic/Electrical Engineering), Mathematics, Physics, Computational Neuroscience or related quantitative discipline and will be highly
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solutions for real-world problems in 6G use-cases. Candidate profile MSc in Computer Science, Engineering, Mathematics or related area (min 2.1 grade or equivalent) or equivalent work experience Previous AI
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) degree in Engineering (e.g., Neural, Biomedical, or Electronic/Electrical Engineering), Mathematics, Physics, Computational Neuroscience or related quantitative discipline and will be highly motivated and
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the School of Mathematical and Statistical Sciences, Industry partner Cerenovus and clinical collaborators across Europe and Asia. This position is funded through Science Foundation Ireland (CÚRAM) and is
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the School of Mathematical and Statistical Sciences, Industry partner Cerenovus and clinical collaborators across Europe and Asia. This position is funded through Science Foundation Ireland (CÚRAM) and is
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cybersecurity across a broad range of domains including materials and environmental sciences, engineering, healthcare, agriculture, energy, astrophysics, applied mathematics, financial services, ICT and others