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of recommendation to be uploaded to Academic Jobs Online. Note that it is highly encouraged to customize your application for the specific faculty you would like to work with. All questions should be
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, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation group. Main responsibilities Conduct research in collaboration with senior researchers and
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observation-based climate datasets. In addition, we will also use innovative machine learning tools to evaluate the relationship between a set of hypothesised climatic precursor conditions, called (potential
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GROMACS, AMBER, MARTINI, OpenMM, or similar tools ii) Experience with machine learning or AI experience (e.g., PyTorch, JAX) for RNA modeling and/or drug discovery iii) Experience in coding and scripting
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near completion) in materials or chemistry and experience in battery research. You will have expertise in a range of synthesis techniques and advanced materials characterisation tools such as X-ray
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are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position. Please note that in order to comply with the applicable
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cleanroom fabrication techniques Proficiency with photonic simulation tools (PhotonDesign, Lumerical, COMSOL, or similar) Experience with optical characterization techniques (spectrum analysis, power
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The Energy Systems and Infrastructure Assessment (ESIA) division provides the rationale for decision makers to improve energy efficiency. We develop and use analytic tools to help the U.S. achieve
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-of-the-art results in many applications. As a leading expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier