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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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candidates with: A first-class degree in Electrical, Biomedical, or Communications Engineering, Computer or Data Science or a closely related discipline with a strong mathematical and data management
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provide a personal letter (first field in the application form). This letter should contain a paragraph where you briefly explain/list the qualifications that you believe are particularly relevant
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evolution? How can philosophical and mathematical concepts refine our understanding of what we mean by life, leading to new interdisciplinary collaborations and modes of scientific enquiry? We have a fully
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to undertake fundamental research that is highly mathematical in nature. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and 300-word statement explaining your motivation
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(or international equivalent) in: Engineering, Mathematics, Computer Science, Physics, or a related discipline. We would also like to see enthusiasm for collaboration and software engineering, experience of C
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honours MEng/MSci or higher degree (or international equivalent) in: Engineering, Applied Mathematics, Physics, or a closely related field We are also looking for a strong background in aerodynamics/CFD
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approaches. Qualifications and personal qualities: Required: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial
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of the mathematical models of the patho-physiology and PK/PD of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment
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with a strong mathematical and data management component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge