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possibility for further extension. The successful candidate will engage in developing innovative biomechanical models and simulation techniques, integrating these with machine learning. This exciting
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Biosustain, in collaboration with the DTU Bioengineering, is offering a PhD position to foster next generation of hybrid scientists by blending expertise in machine learning, deep-learning, constraint based
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, geometry processing, and a keen interest in applying machine learning techniques to solve these complex and critical medical challenges. The successful candidate for this postdoctoral position will be
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communicating with end users and documenting their requirements Solid experience with full machine learning pipelines including feature design and selection, classification and validation. Experience in analysing
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improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate the role and mechanisms of receptor
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) companies through the implementation of state-of-the-art Machine Learning (ML) and Deep Learning (DL) techniques. Page Professor in Machine Design and Advanced Manufacturing Systems – DTU Construct - DTU
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leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Your role, starting on July 1, 2024, will center on setting up, calibrating and analysing the pre-existing
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Description Do you believe that formal methods are crucial to ensure high quality in software systems? Do you want to establish your career as a computer scientist in this area? Do you want to educate new
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Research Fund Denmark-Inge Lehmann program). This innovative project aims to revolutionize Engineer-To-Order (ETO) companies through the implementation of state-of-the-art Machine Learning (ML) and Deep
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programming skills in scientific languages such as Python, MATLAB, or C, with a demonstrated ability to apply these skills to develop machine learning and/or AI models and conduct analyses relevant to wind