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(IC) design. The PhD scholar position is affiliated with the PhD program in Engineering Science (PENG) under Faculty of Technology, Art and Desgin (TKD). The research project is affiliated with
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candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control
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requirements PhD or equivalent academic qualifications with a specialization in AI in areas relevant for the project (e.g., MIR, computational music analysis). The applicant is required to demonstrate how
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Science and Technology. The education includes relevant courses amounting to about six months of study, a
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Platform programme, which is jointly supported by the Research Council of Norway, Innovation Norway, and SIVA. The programme aims to accelerate the green transition in Norwegian industry by supporting
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to the specialization Arctic Vulnerabilities in the PhD programme. The appointment period is normally three years without teaching duties, but a four-year period with 25 % duties may be considered. Duties may include
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arising from geometric principles cannot be replicated simply by scaling up data or computational resources. The PhD project will address both the mathematical foundations and the practical implementation
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Actions (MSCA) Doctoral Network funded by the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators on Earth, capable of accelerating
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, Advanced Grant funded by the European Research Council (ERC) in the frame of the Horizon Europe programme. About the project/work tasks: Thunderclouds are the most energetic natural particle accelerators