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in-line or at line spectroscopic tools Large-data, modelling and prediction of food and ingredient processes. Understanding of biological production systems and their use, and with an emphasis
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of Arizona. The incumbent will work onsite at the University of Arizona serving as a technical leader and consultant by developing predictive models, operationalizing generative AI frameworks, and applying
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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marine and environmental research. In the Department of Ocean Biosphere Dynamics, we are looking to fill a position as Scientific Programmer (m/f/d) Biogeochemical Model Development and Integration
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Experimentation The department investigates the dynamics of the ocean carbon cycle, its variability and predictability, and its role in the Earth system through climate-carbon cycle feedbacks operating across
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Lieutenant and Detective Sergeant, you will perform intelligence and statistical analysis to detect emerging crime patterns, build predictive probability models, map criminal activity, and synthesize raw data
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, ensemble modeling strategies. Run large‑scale structural predictions and interface scoring on HPC infrastructure. Rank nanobody candidates using structure‑based affinity and interface
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leakage and the project ACE Water, in the topic degradation in LTEL and HTEL stacks and developing lifetime models, life-time predictions and the validation of them. You will be expected to contribute
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accurate prediction of how defects affect strength, stiffness, and fracture behaviour. By combining detailed meso-scale models including defects with an adaptive shell-based macro model, the research will
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metadata, and clinical imaging workflows. Experience with image classification, segmentation, temporal modeling, representation learning, multimodal learning, or clinical prediction modeling. Familiarity