44 Statistics "University of Wisconsin Milwaukee" scholarships at UiT The Arctic University of Norway

PhD Fellow in Deep Learning and statistics for heterogeneous data

6 May 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Mathematics and Statistics Research Field Mathematics Mathematics » Statistics

PhD Fellow in Deep Learning and statistics for heterogeneous data

11 Apr 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Mathematics and Statistics Research Field Physics Mathematics Mathematics » Statistics

PhD Fellowship in Environmental Epidemiology

and national health registries. The group is interdisciplinary with researchers from the field of medicine, biology, statistics, and more. Responsibilities The PhD candidate will conduct research in

PhD Fellowship in Environmental Epidemiology

and national health registries. The group is interdisciplinary with researchers from the field of medicine, biology, statistics, and more. Responsibilities The PhD candidate will conduct research in

PhD Fellow in deep learning for spatio-temporal medical image analysis

background in mathematics. Preference will be given to those with experience in related topics. Candidates must have a Norwegian master's degree or equivalent in physics, mathematics/statistics

PhD Fellow in the intersection of information theory and deep learning

methodologies of statistics, logic, and machine learning in unique ways. Integreat's machine learning will solve fundamental problems in science, technology, health, and society, and contribute to make Norway a

PhD Fellow in knowledge-driven machine learning

Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge

PhD Fellow in the intersection of information theory and deep learning

of next generation machine learning. This will be done through interdisciplinary work that combines the mathematical and computational cultures, and the methodologies of statistics, logic, and machine

PhD Fellow in Translational Cancer Research

Essential: •    A master’s degree in statistics, bioinformatics, data science, or a related field. •    Strong background in machine/deep learning for multimodal data fusion. •    Proficiency in python

PhD Fellow in Translational Cancer Research

leader Lill Tove Rasmussen Busund . via Unsplash Qualifications Essential: •    A master’s degree in statistics, bioinformatics, data science, or a related field. •    Strong background in machine/deep