45 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Fellowship scholarships in Norway
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is therefore important that
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will become member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
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. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
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resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced numerical models and machine learning tools to predict loads
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combine intracranial electrophysiological recordings in humans with behavioral experiments and advanced analytical approaches, including machine learning and statistical modeling. It has two main objectives
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to: compositional multiphase reservoir simulation upscaling or screening methodologies optimization of well positions and control strategies economic assessments machine learning or proxy-model based methods field
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resulting precipitation and extreme weather. We study global and regional climate change and are at the core of international community climate modeling efforts that also involve AI and Machine Learning. We
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for extended research stays abroad . Qualification requirements Master's degree within Electronics Engineering, Computer Engineering or equivalent related disciplines. The degree must normally include 120