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– scholarship position available in the Institute of Physical Chemistry PAS within FENG.02.02-IP.05-0063/25 „Smart Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a
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associations between traits of interest and genotype data; 3) analysis of multi-environment trials; 4) genomic predictions of complex traits; 5) phenomics pipelines to enhance breeding. Applicants should have a
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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anticipating crises. Current landslide prediction models, based mainly on rainfall thresholds, become ineffective in the presence of snow cover. Snow acts as a temporary reservoir, storing precipitation before
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- Very good command of English; a grounding in German We offer Valuable work, generously rewarded Remuneration and prospects Remuneration that corresponds to pay grade E 13 of the wage agreement
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" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
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to experimentally test predicted models would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2357-PATACH-008/Default.aspx Work Location(s) Number of offers available1Company
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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processes (attentional control and working memory) that are known to contribute to language learning, 2) if these cognitive and neural predispositions predict individual rate of subsequent language learning