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adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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student mentoring Job Requirements: A PhD degree in Mathematics or related areas, with focus on numerical analysis or machine learning. Experience in computational math. Proficient in coding languages
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materials synthesis, characterisation, and device fabrication. • Familiarity with computational modelling or data-driven analysis is advantageous. • Ability to work independently as
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., undergraduate, graduate, postgraduate students). Participate in grant applications, including concept development, analysis of preliminary data, preparing background information, and writing grant sections. Apply
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with robotic
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of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to the Security Act, which governs
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of asphalt mixtures, field data analysis and calibration using case-road tests. The candidate will work in close cooperation with the Norwegian Public Roads Administration (Statens Vegvesen) to achieve