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                scientific discipline—particularly in healthcare data science, medical informatics, or clinical machine learning—as well as demonstrated expertise in healthcare data analysis, machine and deep learning, and 
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                properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work 
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                been completed earlier. A good ability to develop and conduct high quality research. You have a PhD in biochemistry, biophysics, chemistry, computational biology, or a related field. You have very good 
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                Demonstrated record of publications in relevant computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements 
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                The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research 
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                Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in 
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                advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms 
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                Educational Master – and conducts research across a wide variety of domains in each of these fields. The faculty’s vision can be summarized as: “With trust, in connection, through continuous learning.” The FPPW 
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                Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular 
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                and solve them with various engineering approaches.Our laboratory aims to design faster and more scalable quantum computers by exploring their systems and software, as modern computer engineering