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, at one of Europe’s highest-ranked technical universities. Responsibilities and qualifications Who we're looking for We are seeking passionate physicists or engineers with a strong interest in quantum
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data
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master problem in coordination with one or more subproblems, each responsible for generating promising variables based on the current master solution. The approach is particularly effective in applications
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of high entropy alloys. The Theory group consists of around 20 researchers (post dcos, PhD- MSc- and BSc students). The Theory group is a part of Department of Chemistry, Faculty of SCIENCE, University
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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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structures. Responsibilities and qualifications You must have an academic background equivalent to a Master’s degree in Civil Engineering, Structural Engineering, or Geophysics. To be successful in
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for insecticide use. Responsibilities and qualifications The two PhD projects are funded by a grant from the Novo Nordisk Foundation for the project "Robotic Intercropping." The project involves four research
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collegial respect and academic freedom tempered by responsibility. We develop talent by offering national/European and global networking opportunities, unique research infrastructures, and a collaborative
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-supervisors. Read more here https://ruc.dk/en/department-science-and-environment Responsibilities and tasks The PhD position is an educational position and the main tasks are in accordance with chapter 3
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
, Environmental or Soil Science Write and speak English fluently Knowledge of handling and analysing experimental data Ability to work independently and as part of a multidisciplinary team Experience in field