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are particularly encouraged to apply. Experience with microinjection, in vivo imaging, molecular techniques, isolation and analysis of immune cells, quantitative data analysis or bioinformatics is an advantage, but
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, bioinformatics, pathogen genomics, epidemiology, public health, and software infrastructure. The project will also interact with GPAP collaborators at DTU, Statens Serum Institut, Imperial College London, and
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computational biology. In this regard they must have demonstrable expertise with bioinformatics, evolutionary genomics, analysis of NGS based datasets, use of high-performance computing and preferably a keen
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competencies Applicants must hold an MSc degree in statistics, genetic epidemiology, bioinformatics, clinical data science, medicine, or a related field. Programming skills (e.g., R, Python, or similar) and
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cardiometabolic disease mechanisms. Required qualifications: A Master's degree in Bioinformatics, Computational Biology, Genetics, Molecular Biomedicine, Biology, Biochemistry, Data Science, or a related discipline
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research groups: (1) Clinical AI, (2) Bioinformatics and Statistics, and (3) Data Science Methods. The PhD student will be part of the Data Science Methods group, which has a strong research focus on privacy