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south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
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if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme . Good oral and written presentation skills in
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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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consortium, 23 partners across Europe, aims to unlock the hidden potential of global metagenomic sequence space using a combination of synthetic biology, machine learning (ML), and ultrahigh-throughput
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synthetic biology, machine learning (ML), and ultrahigh-throughput screening (microfluidics) to discover new enzymes and bioactive molecules with applications in biotechnology, medicine, and sustainability
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the PhD fellowship
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning
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mission is to educate, investigate and present a broad range of topics within theoretical and practical sport science. Our Bachelor's degree, Master's degree and PhD program aim to be of great relevance
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note that the automatic recognition offered by HK-dir insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or those with a
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, you may still apply. The successful applicant must fulfil the requirements for admission to the faculty’s PhD programme in engineering science, cf. Regulation for the degree of Philosophiae Doctor (PhD