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, CVPR, and ECCV. The successful candidate will join a dynamic research environment at Aarhus University and will be encouraged to contribute to open-source software and interdisciplinary collaborations
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc
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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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