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Field
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assessment criteria: • Academic background of the candidate: PhD in Computer Engineering / Computer Science (5 points); PhD in related fields (2 points); • Participation in R&D projects in a field relevant to
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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impacts of their previous work experience relative to the requirements of the level. As a guide, the current annual PhD recruiting rate is $83,985. NRC employees enjoy a wide-range of competitive benefits
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physical simulations, machine-learning climate emulators, and new perspectives on the dynamics of weather and climate to understand i) what current simulations of extreme rainfall can already capture
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internationally through conferences, seminars, and workshops. Translate findings for diverse audiences while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning
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Researcher (R1) Positions PhD Positions Application Deadline 11 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jan 2027
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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to the requirements of the level. As a guide, the current annual PhD recruiting rate is $83,985. NRC employees enjoy a wide-range of competitive benefits including a robust pension plan, comprehensive health and
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent