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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student within the field
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molecular approaches to quantify gene distribution and expression (e.g. Real-Time PCR and transcriptomics). Candidates with a solid background in bioinformatics and experimental work with viruses
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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