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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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fleets of autonomous underwater and surface vehicles can self-organise, negotiate roles, and adapt to changing mission requirements. The developed methods will be validated through simulation and
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try again. UiO/Anders Lien 1st October 2026 Languages English English English Join a world‑leading team at UiO! Seeking a PhD researcher to develop clinically relevant wear‑testing methods and
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with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
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experiments, 3D model management, documentation). • Support broader project goals as needed (e.g., dataset curation, method benchmarking, cross-validation of simulations with actual measurements)
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, recurrent memory, Bayesian modelling, uncertainty quantification and machine learning systems. Emphasis will be on methods that design and implement new architectures for (auto-regressive) sequence modelling
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an interest in investigating the effects of peatland restoration on hydrology and catchment biogeochemistry by means of a diverse set of methods, including field investigations, modelling and data-driven
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. The analyses will include large-scale epidemiological health data as well as daily life activity data collected using wearable sensors, with a strong emphasis on the application of machine learning methods. In
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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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, reports, and stakeholder updates. · Contribute to technical documentation related to hardware design, calibration protocols, sensor integration, and environmental sensing methods. · Contribute