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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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analysis, behavior analysis. It is an advantage if the candidate has experience in statistical analysis (e.g., using R), has experience in conducting literature reviews, know, and understand the concept
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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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. Programming or scripting skills (e.g., Python, R, or MATLAB) for exposure modeling or database automation. Other Competencies Ability to work in interdisciplinary, international teams. Strong communication and
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or administrative registers. Familiarity with survey-based data collection and handling of longitudinal data. Skills in quantitative analysis using relevant statistical software (e.g., STATA, R, or SAS). Experience
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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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, Agent-based, and Supply chain simulation Required skills Demonstrated knowledge of software like Plant Simulation, AnyLogic, AnyLogistix, or the like Fluency in either MATLAB, Lingo, Python, R, SmartPLS
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/matrix population models) and programming (e.g., R). Demonstrated ability to work independently, exercise critical thinking, and proactively address challenges with minimal supervision. Strong written
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as well as part of a team. Willingness to engage in application-oriented R&D, by closely interacting with company staff. Exceptional problem-solving skills and the ability to think creatively and