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bioinformatics, statistical genetics, cheminformatics, database development, and the application of machine learning approaches. Project description The PhD project will investigate how genetic variants alter GPCR
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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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datasets, the project seeks to bridge the gap between disease-associated genetic variants and the biological processes they influence. The successful candidate will leverage unique resources available
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for Evolutionary Hologenomics is funded by the Danish National Research Foundation to develop and implement state of the art ‘omics and associated computational techniques, to address through experimental and
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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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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