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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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collaboration with the Multiscale Inorganic Materials group, both part of the Division of Energy and Materials at Chalmers . The two groups together comprise nine senior researchers and 27 PhD students and
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of pioneering the next generation of human-induced pluripotent stem cell (iPSC)-derived organoid models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror
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accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based
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require close cooperation with other research groups. The position requires PhD in computer science, engineering, or a related field Excellent research track record in AI and sustainability or cloud
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for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
moons, as well as in resource-limited mission architectures, including aerial platforms like helicopters on Mars. As planetary exploration increasingly targets challenging terrains and subsurface
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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Fixed-term: 01/09/2025 – 31/07/2027 Full Time: 35 hours per week We are looking for a Postdoctoral Research Fellow to investigate the genetic architecture of disease resistance in aquaculture
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refer to our representative publications in this area for details (Sun and Shi et al. PNAS 2014; Sun and Shi et al. Nat Cell Biol 2015; Sun et al. Mol Biol Cell 2016; Ji and Sun et al. Nat Immunol 2019