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knowledge in the field of ecosystem dynamics and computational oceanography, through the development or application of theoretical, numerical, or modelling approaches for the study of physical and
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representations and state sequences for predicting disease progression and outcomes; - Developing advanced generative models to simulate patient health trajectories, including disease progression, based on real
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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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, 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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PhD in molecular biology, biochemistry, bioinformatics, genetics, proteomics, or related fields - Strong analytical and problem-solving skills - Excellent publication record in peer-reviewed
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: (i) molecular cloning (ii) pooled genetic screening (iii) flow cytometry (iv) mammalian tissue culture (cells and/or organoids) good command of the English language knowledge of Italian is an
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including D-branes, Black Holes, Gauge/string theory duality, Phenomenological String theory/M-theory; Particle Phenomenology including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and
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, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
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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