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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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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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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