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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
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processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
of metallic surfaces for industrial applications. The core objective is to identify the active plasma species and elucidate the underlying reaction mechanisms at the metal–plasma interface. Through a
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., Dune, Nansen, Graph, Arkham) Interest in blockchain-related research topics such as token-economic design and incentive mechanisms, DeFi protocol mechanics, on-chain privacy techniques (e.g., mixers
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emerging new insights in the literature, you will update the experimental strategy and carry out all the experimental work, supported by technical staff and specialists on the respective instruments. You
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Experience and skills Strong experimental background in surface treatment, surface characterisation, interface engineering or materials assembly, as demonstrated by first author-publications in Q1 journals
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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and numerical skills High-quality PhD in Theoretical Physics Solid knowledge of Quantum Mechanics Will to drive a project Fluent written and oral skills in English We offer Multilingual and
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scheduling and control services for smart grid assets using modern cloud technologies. Participating in experimental activities in laboratory and field demonstrators with real-time data exchange and actuation
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Energy Systems, Mechanical Engineering, Process Engineering, Applied Physics, or a related field, with hands-on experience in modelling and analysis of thermal energy systems or energy transition scenarios