176 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in Norway
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the research fields of cardiovascular biomarker research and cardio-oncology. You can find more information about the research group here: https://www.med.uio.no/klinmed/forskning/grupper/kardiovaskular-crg
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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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. TIK is home to 40 staff members working in research, education and research communication in innovation and science and technology studies (STS). A major part of TIK’s activity is externally funded
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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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society (STS). The thesis should be within a specialisation of relevance to the project. Applicants must have fluent oral and written communication skills in English and speak a Scandinavian language
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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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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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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