10 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oslo in Norway
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researchers for work in higher academic positions within their disciplines. The duration of appointment is 3 years. Your main tasks will be Develop and apply machine learning techniques and statistical analyses
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Develop and apply machine learning techniques and statistical analyses, including digital twin methodology, to fit and validate prediction model. Perform quality control and imputation of genotype and
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environment. Qualifications requirements Applicants must hold a degree corresponding to a Norwegian doctoral degree in biostatistics, statistics, machine learning, mathematics, data science, computer
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studies. Proficiency in relevant computational tools and statistical methods. Experience with machine learning in large datasets. Interest and motivation to work in a multidisciplinary team. Ability to work
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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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available from July 2025, with flexible start date. Responsibilities The candidate is expected to develop a research plan within the scope of this project for a PhD research program participate in literature
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agenda. 3. A CV summarizing your education, academic employments and other qualifying activities that you may have. The period of enrolment (admission – completion) in the PhD programme you have attended
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