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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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particular, in the areas of continuum mechanics of solids, computational mechanics and machine learning Willingness to independently familiarize oneself with new subject areas and work on interdisciplinary
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, permeability, and cytochrome P450 interactions would be advantageous; ▪ Knowledge and/or openness to learn of computer-aided drug design methods, in particular molecular docking, pharmacophore modelling, or in
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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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demonstrate: Essential Criteria: • PhD in Materials Science, Paper Science, Chemical Engineering, Chemistry, Polymer Science or a closely related discipline. • Experience in materials characterisation
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of musculoskeletal research. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria A PhD in epidemiology, psychology
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-of-the-art machine learning methods, acoustic sensing can provide valuable insight into a wide range of processes occurring within the built environment. Potential applications include structural health
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healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling and
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undergraduate education. Major research themes include advanced manufacturing; biomedical and healthcare engineering; artificial intelligence and machine learning; cyber-physical systems; micro- and nanoscale
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Intelligence and Machine Learning. Join a team of scientists at the leading macromolecular crystallography beamlines, the crystallization laboratory, the computing center and contribute to science projects