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to comply with the requirements set forth in CSU Executive Order 1083 Revised July 21, 2017 as a condition of employment. You can obtain a copy of this Executive order by accessing the following website: http
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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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of the printing process. The proposed work plan includes the following tasks: (i) Simulate the additive manufacturing process of the unit cells; (ii) For each geometry studied, evaluate the influence of numerical
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numerical simulations and observations of the solar atmosphere and thus offers an attractive work environment and access to world-class computational and observational infrastructure. Each PhD position is
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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-efficient, open-loop optimisation of fermentation control profiles, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory
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to the Rector of the University of Aveiro; b) Copy of detailed curriculum vitae structured according to the items under point 5; c) Other documents that are relevant for the evaluation of the qualification in
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thermodynamic simulations. The research findings of WERA can be transferred to many other fields of the circular economy. PhD study in WERA takes 4 years in a close cooperation between PhD students and
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and numerically. Particle stability analysis: Investigate mechanical stability of crystals and adsorbents under process conditions. Mechanical stress often causes abrasion and breakage, limiting
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simulation concepts with experience in wildfire modeling and loss assessment and regional planning of communities at the wildland-urban interface (WUI). Successful candidates will contribute to the development