23 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions 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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Ratio arkitekter 15th August 2025 Languages English English English Postdoctoral/Researcher position in Molecular and Systems Neuroscience through the NORPOD program Apply for this job See
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. For more information regarding the position or details of the project, please contact Chloé B. Steen (chloebs@uio.no ). Qualifications Completed PhD in computational biology, bioinformatics, computer
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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researchers for work in higher academic positions within their disciplines. Your main tasks will be Develop and apply machine learning techniques and statistical analyses, including novel methodology
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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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science. The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines. Your main tasks will be Develop and apply machine learning techniques and
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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