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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information We recommend that you save a copy of the job posting, as
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emergency managers, robotics developers, and public authorities. Is tested and refined in close collaboration with stakeholders through simulation exercises, workshops, and field studies. The project builds a
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(28nm or below) Hardware-aware modeling of state-space inference pipelines Simulation and synthesis of the architecture using EDA tools Benchmarking against transformer-based hardware accelerators Work
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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caused by the exposure to diverse simulated weather scenarios and urban traffic loadings. Responsibilities Your responsibility is twofold. First, it is driving and performing the research efforts as
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tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations and in silico screening to assess inhibitor-target interactions and predict selectivity. Clone, express, and purify top
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@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates
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emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration of Information Backbones including Digital Twins and
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration