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Field
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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machine learning or equivalent fields. A background in computer science/physics/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in
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. Experience with relevant field work and lab analyses, as well familiarity with statistics (preferably R) and GIS tools will be emphasized. The applicant must be able to demonstrate/document
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the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual
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requirements Applicants must hold a Master’s degree (120 ECTS) or equivalent in Statistics, Computer Science, Mathematics, Computational Biology or related field, minimum grade B (ECTS grading scale
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credentials. Qualification requirements: Master’s degree or equivalent in machine learning or equivalent fields. A background in computer science/physics/statistics/applied mathematics/electrical engineering
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you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. Application Your application must include: Application letter CV Diplomas and
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you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. Application Your application must include: Application letter CV Diplomas and
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interest in learning the relevant topics of the PhD project and associated areas such as experimental design, laboratory methods, as well as statistical analysis. The candidate must have the ability to work
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for gathering or analyzing data (e.g., eye tracking, EEG/ERP, acoustic analysis in Praat) excellent statistical skills experience in research on autism and/or developmental science good written and oral