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-supervise HDR and undergraduate research students, providing guidance on experimental design, laboratory practice, data analysis and scientific writing. Work collaboratively across multidisciplinary teams and
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such as space, aviation, automotive, rail or medical; experience with data analysis and modelling tools, such as Python or MATLAB, including handling of datasets used for training, testing and validation
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management, research expertise, managing and day-to-day research operations, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Develop, validate, and deploy AI
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complexes Analysis of target-ligand structures to inform compound design Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within structural biology or
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the analysis of crosslinking and immunoprecipitation (CLIP), ribosome profiling and RNA proximity-ligation data (e.g. hiCLIP). We are looking for an innovative, and highly motivated scientist who is keen to
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studies, critical infrastructure studies, heritage research, and spatial analysis. The PhD position is funded for three years, starting 1 March 2027 and ending 28 February 2030, and is embedded within
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system
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/low-frequency electromagnetic systems. Good publication record in relevant research areas. Proficiency in MATLAB, Python, C/C++, or equivalent tools for simulation, data analysis, and automation. Good
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data analysis highly beneficial. Previous laboratory experience in infectious disease research.. Research FieldBiological sciences Additional Information Selection process Application deadline: 08-10
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health service delivery undertake high-quality research activities including study design, ethics submissions, data collection, analysis, interpretation and dissemination of findings collaborate with