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Field
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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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probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical functionalities Mechanical, electrical and
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simulate a refined batch of synthetic data. For each batch, the postdoc will estimate Bayes optimal error, an important guide for realistic goals for deep learning. The first batch of synthetic data will be
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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
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optimize protocols for chemical synthesis and electrochemical functionalization of porphyrin macrocycles Synthesize porphyrin-based materials by electropolymerization Participate in the installation of a new
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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to optimize performances. The postdoc will carry out structural and morphological characterizations (X-ray diffraction, TOF-SIMS, AFM, and microscopy) of the selected superconducting materials. In the second
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling