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research profile in biostatistics/computational biology, and make meaningful contributions to the field with far-reaching implications. Conceptualise optimal experimental designs and novel modelling
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in data science-adjacent fields (bioinformatics, computer science, AI, biostatistics, bioengineering, biotechnology) with a strong publication record. Experience with bioinformatic analyses
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for a full-time doctoral student in the domain of statistics and infectious disease modeling. CenStat, builds on more than 30 years of top scientific research in mathematical statistics, biostatistics
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scripting, high-performance computing, databases and visualization tools). You have a strong interest and expertise in bioinformatics, biostatistics and the analysis of high-dimensional data. You have
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injury, biotechnology, biostatistics and data sciences, who have decided to join forces by composing a multidisciplinary team to teach young researchers in multiple competences and apply these in
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, Computer Science, Biostatistics, or a related field, with some experience in management of healthcare data. Knowledge on data visualization tools and API development is a plus. You should have excellent
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, biostatistics and the analysis of high-dimensional data. You have knowledge on cancer molecular biology, single cell and multi-omics. Expertise with laboratory work in a molecular biology lab, including omics