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of quantum programming languages and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and
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scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released
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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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. Knowledge of mechanical design, control system theory, statistics, actuation, sensing, rapid prototyping, and manufacturing. Experience with tools such as ROS, Gazebo/NVIDIA Isaac/Omniverse or CoppeliaSim