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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 2 months ago
intelligence and machine learning to decode interaction archetypes of membrane proteins and predict the effect of genetic variants. While the Superti-Furga Lab will be based in Graz, regular travel to Vienna
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learning environment. Responsibilities: Perform scheduled and assigned preventive maintenance (PM) and predictive maintenance (PDM) to identify or prevent potential plumbing failures. Conduct preventive
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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interpretation and prediction of structure-property relationships. https://sustainablepolymersynthesis.com/ Interested? Want to know more about this position or what it’s like to work at our university? Reach out
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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found on the following websites: ESA - What is PANGAEA? ESA - What is CAVES? Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic
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classification of experiments using the gamma irradiator, reactor, and associated equipment. Develop and program computer software used to predict neutron activation results of samples to be irradiated and analyze
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-enabled mission planning, immersive XR training, predictive maintenance, and digital continuity. The environment is highly collaborative, combining ESA experts, industry partners, and research institutions
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
, we will engineer smart CAR T therapeutics for solid tumors. Condensates, Chromatin and Translational Control in Pediatric Cancer (Grebien Lab , CeMM/St. Anna CCRI). We develop quantitative and
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engagement, utilization, and measurable learning outcomes. Demonstrated expertise in using student success analytics, predictive indicators, and institutional data to inform strategy, improve services, and