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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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to the maritime sector. Knowledge of shipping and the maritime industry is an advantage. Experience with version control systems and software development platforms like GitHub and GitLab. Experience with High
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conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning
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outside academia. Your immediate leader will be the Head of Department. About the project This position is part of the Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN) project MetaExplore
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Skłodowska-Curie Actions Doctoral Network (MSCA-DN) project MetaExplore – Ultrahigh-throughput exploration of metagenomic sequence space to discover and engineer novel biocatalysts and bioactive compounds
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Information - Personvernregler for databehandling Utløpsdato: ett år Navn: CookieInformationConsent Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal
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: Required qualifications: Experience with data analysis and familiarity with statistical software (e.g., R, Stata) The applicant must be fluent in oral and written English, see documentation requirements
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populations in order to define sustainable harvest levels. In this PhD position, the candidate will work together with a team of researchers to assess sustainable levels of recreational harvest on willow
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software (e.g., R, Stata) The applicant must be fluent in oral and written English, see documentation requirements Ability to work both independently and as part of a multidisciplinary and international team
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research environment with excellent opportunities for professional development and networking. Qualifications and personal qualities The applicant must possess a Master`s degree or an equivalent in medicine