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Field
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, control and software development activities System integration Support simulation, prototyping, and validation phases ESSENTIAL REQUIREMENTS A PhD inMaster’s degree or PhD in Robotics, Aerospace Engineering
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of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied
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to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. You will develop value-of-information measures and software
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. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty
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carbon cycling, with a focus on boreal forest ecosystems Experience with data processing software for eddy-covariance data (EddyPro, REddyProc) Excellent numeric and analytical problem-solving skills
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publications, preprints, software tools, or other relevant research outputs. Experience of pursuing external funding to support research. Significant emphasis will be placed on cooperative abilities. Application
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understanding of the pathways and rates of transport of solutes and particles at the catchment scale. Integrated into a runoff simulation software, this mathematical model will then be coupled with geochemical
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Information Eligibility criteria EVALUATION CRITERIA: a) Experience using OpenFOAM software: maximum 10 points, awarded for 5 years of full-time work in this field. b) Experience in computational simulation