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properties that enable efficient problem-solving through energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your
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diverse team of PhD candidates who will focus on three key areas: Probabilistic and differentiable algorithms for machine learning; Programming language implementation for high performance computing
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(finite element modeling, computational fluid dynamics), and proven experience with COMSOL Multiphysics. Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization
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) and German (desired) High motivation for scientific work and willingness to work in an interdisciplinary team WE OFFER: A broad education and training in the structured graduate programme of our highly
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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to evaluate material performance and validate simulation results. Research and Collaboration: Lead and contribute to research projects, prepare manuscripts for high-impact peer-reviewed journals, and present
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient
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this call will be funded by Fundo Europeu de Desenvolvimento Regional (FEDER) through the Innovation and Digital Transition Program (COMPETE 2030) of Portugal 2030; reference of operation 14414, operation