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or equivalent in bioinformatics or related fields, e.g. computer science or statistics. Candidates finishing their PhD before May 2024 will also be considered. We require: Experience in machine
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assessment Epidemiology Statistical analysis in R Place of employment The place of employment is at Department of Public Health (Øster Farimagsgade 5, København) University of Copenhagen. We offer creative and
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working in applied statistical and computational approaches for analysis of large scale genomic data including methods for loci association studies, methods for detecting and correcting for population
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candidate will be responsible of sophisticated statistical analyses of complex data obtained from national registries, large birth cohorts and biomarker analysis of blood. The specific work tasks will include
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analysis and maintenance, and programming skills (e.g., R statistical software, Arduino) are benefits. Fluency in written and spoken English is a requirement. The most important personal qualifications
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(AgroEcoHPM), ensuring access to databases, improved tools for optimisation, statistical analysis, coupling with machine learning, development of documentation and educational tools and other improvements
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, particularly with the visual representation of data and statistical analysis. Your profile Required education/skills An academic Science degree in bioinformatics, computer science, systems biology, biotechnology
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of cardiac arrhythmia and structural heart disease Detail-oriented with strong documentation skills Strong foundation in statistics and machine learning Self-sufficient and able to lead projects from start to
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enthusiastic scientist with the following competencies and experience: A PhD degree in Bioinformatics, Genomics, Computer Science, Mathematics/Statistics, Physics, Engineering or similar. Strong programming