47 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" PhD positions in Norway
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- NTNU - Norwegian University of Science and Technology
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to acquire the necessary skills Has the ability to work effectively both independently and as a member of a team Is willing to make an effort to contribute to a positive research community both among fellow
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with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
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: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. For further details, please visit our webpages Optimized
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, you can expect: An attractive and supporting learning environment Participation in research groups Close supervision Skilled supervisors Excellent job prospects The programme is administered by
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(including career-enhancing work as teaching). If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before the end of the employment period, the employment period can be
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surroundings. This includes how we learn and teach, deliver healthcare and welfare services, conduct business, manage and evolve organisations, and shape public policy in a digital context, as well as how we
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creating new opportunities in sustainable manufacturing, digitalization, and circular business models, while increasing the need for re-skilling and continuous learning to ensure a just and inclusive
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throughout food production value chain Human Digital Twins; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain
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Health, Medical Sensors, Systems Physiology, Internal Medicine Secondments : University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling
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: Digital Twins and Internet of Things throughout product lifecycle Human Digital Twins; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning