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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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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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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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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
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experience in implementing and applying machine learning models. Additionally, good programming skills in R and Python are required, as these tools are integral to the courses. Offer of employment will
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able