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About the Role This is an opportunity to work as part of the team and project “Accelerating charged particles in space” funded by a Royal Society URF led by Dr Heli Hietala. The postdoc project
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Aug-25 Location: Wilmington, North Carolina Categories: Academic/Faculty Physical Sciences Internal Number
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several projects in the centre including the MAGICA project ( https://magica-project.eu/), a landmark initiative funded under EU Horizon programme. The MAGICA project aims to accelerate the development
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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Area of research: Scientific / postdoctoral posts Job description: Researcher - Engineering & Physics for Biomedical Innovations (f/m/x) 102788 Full time 39 hrs./week Neuherberg near Munich
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collaboratively in a multidisciplinary research environment. Required Knowledge, Skills & Abilities: Strong background in experimental nuclear or particle physics, particularly in detector systems or accelerator
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The Hadronic Matter Group of the Physics Department is seeking a Postdoctoral Research Associate to support its STFC-funded Electron Ion Collider R&D programme, which aims to develop new
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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or