160 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD scholarships in Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
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- UiT The Arctic University of Norway
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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
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information can be found here: https://www.ntnu.edu/mai Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
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inventories and provision of environmental information. Similarly, the developments in AI and machine learning allow for new and improved processing of remotely sensed data supporting precision forestry
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is internationally recognized, with interests spanning a broad range of areas - including statistical machine learning, high-dimensional data and big data, computationally intensive inference
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syndrome (PCOS) who have participated in different clinical studies based at NTNU/St. Olavs hospital since the early 2000s. Data from the HUNT4 Survey (the fourth survey of the Trøndelag Health Study) will
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. Kai Sandvold at the Department of Chemistry and Biomedical Science, NTNU as well as the clinical academic group for multiple myeloma research at NTNU and St. Olav’s University Hospital. The position is
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Digital Twin for façade condition, fire safety risk classification, and maintenance planning Apply statistical and machine-learning methods to link climatic loads to degradation indicators Validate models
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relevant if there is a strong focus on data-driven modeling, machine learning, and control. In any case, a documented background or experience in control is required. Your education must correspond to a five
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Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions. As
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optimization (WOB, RPM, flow rate, etc.) using machine learning techniques Anomaly detection for downhole vibrations, bit failure, and circulation losses Integrating physical modeling, digital twins, and data
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) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C