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registry-based research, epigenetic analyses or machine learning. Interest or experience in science communication and public engagement Experience with publishing biomedical papers Experience with open
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need, this may be prepared from published field operation data, laboratory measurement or other sources. Machine learning can be used to select the bet data set for each particular cases covering
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Personal characteristics Ability to work independently and in a team Drive to learn new methods and applications
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years without teaching duties. If learning Norwegian (level A2 corresponding to at least 15 credits) is
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willingness to learn bioinformatics are required. Skills where hands-on experience is considered an advantage: functional genomics (e.g. ChIP-seq, RNA-seq, ATAC-seq) genotype-phenotype associations (e.g. GWAS
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the 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 with a learning outcome
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is important that you are able to: Willingness to learn new fields in a multidisciplinary research environment Problem solver, with ability to use existing knowledge in new ways Good communication
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent
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NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree, with a learning outcome corresponding to the descriptions in the Norwegian Qualification