10 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof" "University of South Eastern Norway" PhD positions in Norway
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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Additional Skills and Experience Experience utilising and integrating multiple methods and multiple kinds of data in their research Proven ability to implement research projects on time and to a high quality
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references Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors
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the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included. About The Faculty of Environmental Sciences and Natural Resource Management
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unpublished works). A publication list (if applicable). Include a brief description of your contributions if you have publications with multiple authors. A manuscript (article) derived from your master’s thesis
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reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals