15 machine-learning "UNIVERSITÉ DE FRANCHE COMTÉ" scholarships at Norwegian University of Life Sciences (NMBU)
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cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic background from
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five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented
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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 outcome corresponding to
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cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic background relevant
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setting Descriptive and predictive exploration of the data set by statistical analyses and machine-learning Discussion, write-up (thesis, scientific articles) and dissemination of findings. The successful
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is seen as social practice in society rather than exclusively relegated to police and/or military authorities These shifts provide new lenses to revisit and re-evaluate a broader set of police reform
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advanced methods for evaluation (microdissection, transcriptomics, quantitative polymerase chain reaction (qPCR), computer-assisted sperm analysis (CASA), flow cytometry, in toto fluorescent in situ
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. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic background relevant
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corresponding to a five-year master’s degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a
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degree or a cand.med.vet. degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification Framework, second cycle. The applicant must have a documented strong academic