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collaborative research projects focused on cellular immunology and host responses to infection. · Develop and optimize advanced mammalian cell culture systems, including complex 2D and 3D cellular models
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
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Description Do you want to develop sustainable energy storage solutions for the future? Do you want to use your curiosity, technical knowledge, and enthusiasm to contribute to the UN sustainability goals and
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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values of ~10. While LGADs have been optimized for high precision timing (σt∼30 ps) in charged particle detection, standard gain-layer segmentation typically limits the fill factor due to significant “dead
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applications. It will be carried out within the Nuclear Structure and Energy (SEN) group at SUBATECH using the newly developed, hybrid Total Absorption Spectrometer (TAS) called STARS. TAGS is the preferred
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
Energy management systems for PV-battery systems AI-based optimization, reinforcement learning, predictive control or data-driven control Real-time simulation, hardware-in-the-loop testing or laboratory
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with a strong background in applied mathematics, control theory and/or optimization to apply for a fully funded 4-year PhD position in the Smart Manufacturing Systems (SMS) group at the Engineering and