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and control of light–matter interactions at the nanoscale, combining nanophotonics, structured light, metasurfaces, and advanced optical techniques. The group studies and develops nanophotonic
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, following the award of an ERC starting grant. The research focuses on the development of optical microscopy systems for measuring molecular diffusion and biomechanical properties in biological systems
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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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focuses on the biomedical applications of in-house developed hybrid nanomaterials and nanozymes, including colorimetric and optical (nano)diagnostics, and on understanding how nano–bio interfaces govern
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and leukemias (in particular Hodgkin lymphoma and hairy cell leukemia), and to translate this knowledge in the clinic by developing new precision diagnostic and therapeutic tools (as exemplified by
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring
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particular Hodgkin lymphoma and hairy cell leukemia), and to translate this knowledge in the clinic by developing new precision diagnostic and therapeutic tools (as exemplified by recent publications in top
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Nanomaterials for Biomedical Applications Research unit is coordinated by Teresa Pellegrino. The research focuses on developing nanomaterials for biomedical applications, including drug delivery and hyperthermia
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programming and code porting on accelerators (FPGAs, GPUs) are being developed, as well as the development of RISC-V applications in scenarios where the use of open hardware is necessary. Another research topic
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intelligent robots. Developing adaptive learning and deployment frameworks enabling secure, trustworthy, and robust operation of AI models embedded in CPS. Conducting empirical and experimental studies at scale