204 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions at University of Oslo
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public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills The candidate’s research proposal must be closely connected to the call and the research
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
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or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years
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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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, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based
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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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MSc degree within the fields of immunology, cell biology or biochemistry. The candidate must have excellent written and oral communication skills in English The candidates should be able to teach in a
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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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. 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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that the postdoctoral fellow should acquire, no later than one month after commencement of the postdoctoral period. The department is responsible for ensuring that the plan is followed up and that the postdoctoral