67 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Oslo
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Norwegian (or another Scandinavian language) Experience in the following methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis
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degree in special needs education and five special education majors (speech and language therapy, hearing, language and communication, specific learning difficulties, psycho-social difficulties, and
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written and oral communication skills in English The candidates should be able to teach in a Scandinavian language. Experience in extracellular vesicles/lipid nanoparticles, lipid chemistry and/or confocal
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive
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. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
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the digitalization for risk management; therefore, it is expected that the candidate will be familiar with new methods such AI (deep learning) for subsurface studies (seismic interpre-tation). A part of the
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therapy, hearing, language and communication, specific learning difficulties, psycho-social difficulties, and neurodevelopmental disabilities) at the master’s level, in addition to an international master’s
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(deep learning) for subsurface studies (seismic interpre-tation). A part of the candidate’s job is to contribute to administrative work in the pro-ject and actively participate in communication with other
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and/or supervision duties. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty
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are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is the Department of Informatics at Blindern, Oslo. Project