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Geophysics – OGS announces a public competition, based on qualifications and examinations, for the recruitment with a full-time permanent contract of one (1) staff member in the profile of Researcher – Level
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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, spectral matching against databases (e.g., Metlin, KNAPSAcK), and statistical modeling for biomarker discovery. Integration and Interpretation: Correlate metabolomics data with biological and geographical
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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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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
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, remote and cloud-based MS data, including annotation libraries as well as raw MS data. Support for, and integration of, established and upcoming MS data file formats (mzSpecLib, mzTab-M 2.0
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Genomics and single-cell Genomics Sequencing platforms. The successful candidate will take on the following responsibilities: conduct CRISPR-based functional screening using patient-derived cancer tumoroids
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well as in the system integration. The strategic mission of the FBK-SD is scientific excellence combined with the ability to exploit research results. The innovation model is open to collaboration in national