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(KPIs) related to the Ticket Sales & Service Department’s performance. Work with Ticket Sales team to design, implement, and monitor commission and bonus structures for all departments within Ticket Sales
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experimentally driven research combined with modelling, advanced characterization, and process optimization, contributing to the green transition and the European battery value chain. Working as a Associate Senior
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stable isotopes Cell extraction and molecular work Advanced microscopy Bioinformatics and statistical analysis Research infrastructure and study programme Work will be conducted at the Institute of Soil
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Phenorob, we develop novel agrogeophysical methods to obtain noninvasive subsoil information that can be used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across
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geosphere through geologic time. The Research Support Associate will contribute to the investigation of protein design and protein language models using advanced computational approaches. This position will
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of space launch systems. Thus, SLICE will contribute to advance the science of climate change by investigating the three most pressing research areas of this field: Launch Vehicle Emissions, Atmospheric
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
applicants who can develop a collaborative and innovative research program in one or more of the following areas: construction estimating, construction scheduling, building information modeling (BIM
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farm management through innovative sensing technologies, advanced modeling, and intelligent automation. This PhD project contributes to PhenoRob’s initiative to develop digital twins, i.e., high-fidelity
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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vegetation structure as derived from LiDAR measurements. • Assist in developing and validating turbulence models (RANS frameworks) and coupling them with a process-based vegetation dynamics model. • Perform