20 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral 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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to develop novel computational methods for data integration and analysis Experience with machine learning approaches for biological data modeling and predictive analytics Good communication skills and
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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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of atomistic modelling of ferroelectric materials 2. Experience in development and application of machine learned potentials * Please note that this is a PhD level role but candidates who have submitted
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libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with
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working effectively as part of a multi-disciplinary research team. An enthusiasm for healthcare data research and willingness to adapt and learn new research methods. Desirable criteria Knowledge
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presentation Human study experience Skills in the development and running of analytical assays Desirable criteria Skills in product design and operating on computer-aided design CAD software e.g. Fusion 3D
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passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws