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-os-Montes region, in association with other chestnut tree diseases; to understand its relationship with biotic and abiotic factors in chestnut groves; and to evaluate disease control agents. The tasks
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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the contractualization phase of the fellowship, which may initially be replaced by a declaration of honor (attached); • Have an excellent command of both written and spoken portuguese and English; • Possess verified
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patients. You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with collaborators having expertise in neuroscience, neurology, neurophysiology, signal processing, and
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integrates three synergistic research thrusts: Advanced thermal storage and sensing materials Intelligent, building-scale integration of sensing and control systems Cooperative, urban-scale energy management
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. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with: Strong expertise in signal processing
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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the
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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the
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efficient manufacturing. Our work focuses on reducing energy use, decarbonising industrial processes, and creating technologies that enable a transition to net zero production. This project aims to develop a
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at different scales (plate to flask to lab bioreactors). Optimise cultivation parameters (media composition, induction, process controls). Collaborate with strain engineering and omics teams to link genotype