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Field
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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expertise, preparing them optimally for future challenges.
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Development Assists project leader with the development and implementation of research projects involving classical and molecular parasitology. Design, optimize, and validate nucleic acid-based assays
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expertise, the work may involve wireless communications, multi-robot coordination, trajectory planning, artificial intelligence, optimization, and the experimental validation of communication-aware robotic
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater
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the country in which the doctoral degree was obtained. Knowledge of using and optimizing the cellular thermal shift assay (CETSA) to understand the activity of novel hit molecules compounds. Expertise
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Ricerche within the project “EYA - Energy–hYdrogen Adaptive Optimizer” (CUP G49J26000320004) and the Italian Ministry of Enterprises and Made in Italy (MIMIT), within the the project “Smart Scouting – LIA2S
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design and synthesis, structure–activity relationship studies, and optimization of lead compounds for biological activity and drug-like properties. Outstanding U of A benefits include health, dental