3 semiconductor-device Fellowship positions at University of Birmingham in United Kingdom
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reasoning, machine learning, or equivalent qualifications Proven ability to publish in top-tier conferences and journals in AI, computer-aided verification, automated reasoning, or quantum computing
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patient care and research outputs. Understanding of regulatory frameworks for clinical research, medical devices, and AI health technologies. Experience with AI applications in medical imaging, particularly
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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