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learning models for the construction of constructs and capsids using combinations of discriminative and generative methods, methods for protein structure prediction and docking simulations. The successful
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/ work tasks: The last decade has seen enormous advances in practical methods for machine learning, providing us with data analysis techniques that are, in many cases, much more efficient than the
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about fundamental science and excited about questions
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mechanics, complex fluids, physics and biophysics and sustainability thinking Follow our PhD program that include an educational component This is the right position if you are highly motivated about
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25% teaching component. The position is dedicated to a Nepali case study. About the project UNRULY is dedicated to understanding uncertainty related to hydropower projects in the face of climate change
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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these to produce compound libraries for further evaluation in various assays. An important element in the synthesis strategies will be flexibility. We plan to use the departments laboratory for automated chemistry
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. You will be tasked with developing new synthesis routes and using these to produce compound libraries for further evaluation in various assays. An important element in the synthesis strategies will be
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background, individual characteristics, and neighborhood and peer characteristics. The SEGOP project is an interdisciplinary project that integrates perspectives and methods from sociology, psychology
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Technology systems, who through the development of their individual-driven research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational