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. Collaborative opportunities with clinical and computational research teams will also be available. The successful candidate will use a robust and physiologically relevant 3D spheroid model, closely replicating
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for statistical model
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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average of B or better (or equivalent score) both for the programme in total and the master’s thesis. The grades at the qualifying MSc examination needs to be B or better (ECTS scale from A-E) to be
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on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program emphasises interdisciplinary collaboration across
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Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 15 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position Faculty of Environmental Sciences and Natural Resource
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both water tanks and with phase change material - PCM). Digital twins of the system for real-time decisions, based on petroleum field experience. LCA and economic conciderations. Modeling and reservoir