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layup. The main activities in the projects will be industrial R&D tasks carried out by LSP’s engineers in close collaboration with company partners. The starting point for the candidates to develop
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both applied and theoretical bioinformatics at the Novo Nordisk Foundation Initiative for Vaccines and Immunity, NIVI Research (NIVI-R) and the LEO Foundation Skin Immunology Research Center (SIC) within
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of flora and fauna, ecosystems ecology, environmental sociology, stakeholder engagement and integration, R-coding, GIS, and mapping software will be beneficial. More specifically, we welcome a candidate with
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, access, metadata, DMPs etc) Advise researchers in R and Python for data analysis and modeling. Required Experience In developing R functions for reproducible statistical analysis Professional or academic
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- or LC-MS and LC×SFC, LC×LC or GC×GC-MS analyses) Experience with chemical analysis of bio-oils Experience with programming languages is advantageous (e.g., R, Matlab or Python) Can interact and
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in the Hempel Foundation Coatings Science and Technology Research Center (CoaST), spanning the entire value chain of industrial coatings R&D. To virtually visit the state-of-the-art labs
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software (primarily SAS, SQL, R, Python, and Stata) Experience of working with Danish registry data primarily via Statistics Denmark’s project database and researcher scheme Knowledge of and practical
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Knowledge and competences regarding the Danish VetStat database Skills in working with R for data management and analysis of big data Experience in collaboration with the livestock industry Understanding
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population surveys and randomized trials). Responsibilities: Utilize Python, R, and containerization (Docker, Kubernetes) to run computational analyses and automated data pipelines. Optimize data processing
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courses and research training courses. The primary teaching responsibilities will be related to the staff in Department R (oncology department). The associate professor will be expected to present his/her