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partners, as well as supporting proposals for funding of national/international applications. Required Qualifications PhD in Software Engineering, Robotics, Computer Science, AI, or closely related areas
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for technical-scientific domains that do not correspond exactly to this call. Job Description FBK is looking for candidates to fill one position in Deep Learning methods applied to projects within the DSIP unit
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technical skills and knowledge: Computational methods for data analysis Quantum Computing theory (e.g., QC algorithms) Practical Quantum Computing (e.g., Qiskit) Software development in Linux The following
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. This includes designing custom-built optical microscopes, developing control software, and building data analysis pipelines to extract quantitative information from dynamic samples. Within the research team, your
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research programme to which the enclosure is linked: Methods and tools
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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will be used: NMR, methods for the measurement of fresh mixes’ rheology, characterization techniques for hardened properties (microstructure and mechanical performance) and further techniques useful
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alkaline methods from distinct soil horizons across 40 DeepHorizon project sites. The primary goal is to pinpoint site-specific molecular markers of organic carbon, including recalcitrant compounds
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the building, as are key core facilities including deep sequencing, flow cytometry cell sorting and hematopathology. The candidate should have a PhD or equivalent research experience. He/she should be
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with project partners, contribute to the preparation of project reports and deliverables, be involved in the dissemination of research results, contribute to the co-supervision of Master’s and PhD theses