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mechanisms, biomarkers and drug targets for early diagnosis and prevention of cancer. Your duties include performing machine learning and statistics on such mechanisms, biomarkers and drug targets under
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differs. This will be done using register based epidemiology. The main task is the production of scientific articles for publication. The applicant is expected to plan and perform statistical analyzes
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are believed to be involved in cluster headache pathophysiology. Experience in working with laboratory assays such as qPCR, western blot and immunohistochemical staining and using statistical programs such as
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to identify novel and repurposing drug targets. Comprehensive knowledge of epidemiological methods (such as cohort, emulated target trial), omics and pharmacoepidemiology. Documented experience with statistical
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. Proved experience in writing and publishing in peer-reviewed journals of high-quality scientific papers. Excellent command of statistical software (e.g., Stata, SPSS, R). Excellent written and oral
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. The candidate should ideally have some previous experience or education in epidemiology and quantitative data analysis. Demonstrable advanced skills and expertise in statistic programming software as R
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, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory, National
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The Department of Forest Resource Management conducts teaching and research in the areas of Forest Remote Sensing, Mathematical Statistics Applied to Forest Sciences, Forest Inventory and Sampling
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. Skills and personal qualities The candidate must hold a degree in computer science, statistics, mathematics, health data science or related disciplines. Documented experience of data science is required
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, Data Science, Bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages