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complex power network to meet the electrical loads of these sectors. Due to recent advances in smart metering infrastructure as well as wide area monitoring protection and control, the data and information
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constitutive modeling and machine learning: how to ensure adherence to physical constraints when enhancing complex constitutive models with neural networks; how to extract interpretable equations from
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negotiation skills to influence stakeholders and secure necessary resources and support for IT initiatives. Emotional Intelligence: High emotional intelligence to navigate complex interpersonal dynamics and
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seeking a qualified academic hematologist with expertise in inherited and acquired bleeding disorders and classical and complex hematology otherwise. The successful candidate must be eligible
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Networks for Multi-Scale Urban Energy Systems Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity
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the position is filled. Information on departmental and McDonald Observatory resources and research programs can be found at: https://astronomy.utexas.edu. UT Austin is a major founding partner in the consortium
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Jyvaskyla University of Manchester Kone Oyi The candidates will have the opportunity to visit various partners in the network, supported by a mobility allowance. At the Chair of Machine Learning for Complex
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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/InstituteAssociação NET4CO2 – Network for a Sustainable CO2 EconomyCountryPortugalGeofield Contact State/Province EDM City Porto Website https://www.net4co2.pt Street Rua Júlio de Matos, 828-882 Postal Code 4200-355 E
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collaboration with affiliated specialty networks. Among the key duties of this position are the following: Evaluates and manages patients with complex medical problems. Provides direct clinical care to patients