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strengths: Human Variation and Functional Genomics Metabolic Dynamics and Organ Crosstalk Physiological Control of Metabolic Homeostasis Cardiometabolic Research in Society and Culture Read more about the
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 1 month ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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Job Description In the context of Industry 4.0, predictive and prescriptive monitoring are among the key tasks enabling the anticipation and prevention of errors, thereby reducing maintenance costs
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without shortages. The project will explore the use of historical demand and supply data, along with auxiliary information, within a Predict-then-Optimize (PtO) framework. This PtO framework will leverage
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
to; system piping, expansion joints, condensate return units, pumps, motors, metering devices, trap assemblies, supply/exhaust fans, pneumatic systems and electrical control systems. This position is also
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As part of the Wave Interaction and Propagation Section, you will contribute to consolidating
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defects, are currently a major limiting factor for metal printing. In nanomedicine, various nanoparticles are used for controlled drug delivery and therapies, and laser-excited nanobubble-inducing shockwave
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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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strategic raw material (CRM) deposits within Paleoproterozoic cover sequences that overlie an Archaean basement. Existing structural models for the cover rocks predict that crustal-scale fault and shear zone