30 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at King's College London
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innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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, then apply statistical and machine learning techniques to analyse how network activity changes in response to these perturbations. This involves identifying patterns, dependencies, and emergent
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to the project’s scope, such as mechanistic interpretability of LLMs, robustness verification of machine learning models, and conformal inference. Applicants should demonstrate scientific creativity, research
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-based cameras (e.g. DVXplorer), and tactile/force sensors. 3. Strong background in computer vision and deep learning, with practical implementation experience. 4. Proficiency in programming with
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statistical or machine learning methods to complex datasets. Evidence of involvement in grant writing or development of independent research ideas. A commitment to teaching the next generation of researchers
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degree in war studies, conflict studies, international security or related field. Experience conducting research on at least one of the following: war studies, military history, strategic thought
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articles, contribute to the teaching and learning programmes in the department, and gain additional development opportunities including supervision of postgraduate research students. The post holder will be
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Fellow in the Headache Group. The post will contribute to their development as an independent clinical investigator. The post is suitable for a clinician who is seeking to learn about research
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. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability