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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 17th August 2025 Languages English English English PhD Research Fellow in Formal Methods for Data Protection in Digital
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to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
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Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in-computer-science/ ). The research programme in Computer Science
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computational chemistry. Position 2 will seek to develop a new computational method combining atomistic modeling with experimental microscopy as an extension of our group’s original modified Hamiltonian formalism
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these emergent collaboration ecologies. Such examinations may require in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should
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experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and deployment
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-mentioned methods Provide guidance to PhD students Disseminate results through scientific publications Prepare research proposals to attract industry partnerships as well as national and European grant
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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fellowship must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in