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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS) You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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directions will be pursued to enhance column generation using machine learning. The first line of research focuses on improving scalability by using Graph Neural Networks to identify and eliminate non
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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. This knowledge will support the designation of marine protected areas in line with the “30 by 30” conservation target. A central component of the project is the integration and analysis of diverse data sources
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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for the PhD education . Assessment The assessment of the applicants will be made by Assoc. Prof. Line Hagner Nielsen, Prof. Stephan Sylvest Keller, Dr. Signe Tandrup Schmidt and Dr. Gabriel Kristian Pedersen
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may be obtained from Associate Professor Line Clemmensen, DTU Compute, lkhc@dtu.dk . You can read more about DTU Compute at www.compute.dtu.dk . If you are applying from abroad, you may find useful