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position, at the Department of Chemical and Geological Sciences - GSD 04/GEOS-02 - Paleontology, stratigraphic geology and sedimentology, structural geology and tectonics (SSD GEOS-02/C), founded by ISPRA
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performance evaluation of alternative data structures and storage modes for large-scale MS data (such as Zarr, Apache Parquet among others). Advanced and interactive visualization of MS data (based on ggplot2
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that allow efficient and fast access to data subsets, and on developing improved and interactive MS data visualizations. In addition, the candidate will be involved in project-specific training and outreach
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metal dichalcogenide (TMD) tungsten disulfide (WS2) via metal organic chemical vapor deposition (MOCVD) To develop approaches to generate defects in WS2 To investigate the structural, electronic and
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Collider physics, Neutrino physics and astrophysics; Cosmology including Large Scale Structures, Physics of the Early Universe, Present Acceleration; Topological field theories and Localization. The section
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and data structures for AI kernels; Scalable systems for machine learning (training, inference, edge); HW-SW co-design for computer vision on novel architectures; Desired skills Advanced knowledge in
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-scale text and structured biomedical data; - Strong quantitative and analytical skills applied to observational or clinical datasets, and familiarity with techniques for representation learning and
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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of structural change; In-house dining hall in San Michele all’Adige, as well as a payment card for meals taken in registered non-company facilities , with the value of Euro 7.00 per meal; Free car park
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on advanced (nano)materials—particularly single‑atom materials (SAMs) on carbon platforms—and their interactions with relevant cellular models in nanomedicine and nanotoxicology. You will join an international