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others. The candidate will be working in a very multidisciplinary project that covers topics such as chemical synthesis and functionalization, materials science, characterization techniques and prototype
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management in hydrogen fuel cell- and electric battery-powered vehicles. Developing a functional software prototype simulating the physical behaviour of the energy management system. Implementing an IoT-AI
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, microbiology and virology, human genetics, genetics, genomics, molecular medicine, molecular neuroscience and cognitive neuroscience, modern imaging, physiology, plant biology, synthetic biology, and
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for public policies that promote healthy and sustainable eating across Europe. Responsibilities Create audiovisual materials for the Planet project and the Health Sciences Studies, including recording, image
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Doctoral candidate in the nexus between doping and thermal conductivity in EU Training Network FADOS
of doping level. The Doctoral candidate will be in charge of developing imaging tools to characterize doping landscapes (via Raman) and thermal conductivity landscapes (via thermoreflectance tools
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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NextGenerationEU/PRTR, entitled "Integrated prototype of a nanophotonic microchip biosensor for ultrasensitive multiplexed analysis of sexually transmitted infections (TYPLEX)". The job will be essentially related
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/2) and dramatically larger physical apertures than today’s 5G MIMO systems. We call this new paradigm UltraMIMO (U-MIMO). This thesis will develop superdirective hybrid analog–digital UMIMO arrays
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technical needs for user experiments, an electrochemical microscope will be implemented, to reach high imaging resolution and a great flexibility concerning various electrochemical environments. Main Tasks
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groups and cross-disciplinary projects. It will combine technological capabilities in omics analysis, medical imaging, multi-scalar integration and AI, aiming at clinical application and the use of real