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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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). The institute also maintains locations in Dedelow and Paulinenaue.The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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they support running optimally under any given circumstances. Artificial intelligence in networking, i.e., applications of AI to improve network performance, maintainability, security, automated repair and other
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. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe
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methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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PhD Thesis position in Composite Magnetic Materials and Embedded Magnetic Core power Inductors for Integrated Voltage Regulators in High-Performance ComputingContract: Full Time/Fixed Term for three
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some