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About us King’s College London is one of the UK’s leading research institutions, committed to excellence in science, engineering, and healthcare innovation. This position is based within
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. It hosts strong research groups in artificial intelligence, machine learning, software engineering, data science, and cyber-physical systems. The department is experiencing steady growth, and
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conferences. Behavioural skills : Independence, ability to work in a team and adapt to the needs of colleagues, creativity Specific Requirements PhD in Engineering, Physics, Theoretical and Applied Mechanics
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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transition time. Job requiements The successful applicant will have: Completed a PhD in the area of stochastic processes prior or very close to the start date, A profound knowledge of probability and
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. Basic Qualifications: A PhD degree in civil, chemical, or environmental engineering. A minimum of 2 years of experience in the use of Python for programming of data analytical models and algorithms
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the supervision of students and teaching activities. Job requirements PhD in a relevant field (e.g., electrical engineering, acoustics, or a related discipline). Strong background in speech signal processing
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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, electrical engineering, materials science, or a related field at the PhD level with zero to five years of employment experience. Hands-on experience in one or more of the following: Cryogenic detectors (TES
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functionality in vivo in animal models (rodents). The required qualifications for the positions are: Documented experience with simulation software based on finite element methods (e.g. COMSOL) and ray tracing