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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 innovatively. Self
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, Statistics or other fields related to Epidemiology or Environmental Medicine. The ideal candidate has prior experience in working with health data, has previously worked with R or similar statistical analysis
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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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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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-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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using software such as R, Stata or the like. Have knowledge of survey design and sampling techniques Be engaged, proactive, cooperative, be able to work independently, showing awareness and confidence in