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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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experience is considered a merit. This may include teaching, supervision, mentoring, course assistance, providing internal training, or other educational activities, within or outside higher education. In
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publication in academic journals and conferences. Moreover, the role will support and provide key operational contributions to scientific excellence and productivity of the research lab, assisting in shaping