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strong in collaboration? Do you see it as a unique opportunity to spend 9 months of the PhD in China? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty of Engineering
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topic of this project and who have academic training in one or more of the following areas: A master’s degree in chemistry, chemical engineering, materials science, physics, or a related discipline
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: https://phd.humanities.ku.dk/phd-programme/structure/. Application All applications must be submitted online via the link “Apply now” at the bottom of this page. The application must be written in English
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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recent large-scale capabilities in physics. Reliability, exploring uncertainty quantification and robust inference in machine learning. Explainability, leveraging identifiability and unique recovery
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At the Technical Faculty of IT and Design, Department of Architecture, Design, and Media Technology, a PhD stipend in explainability in asylum decision-making is available within the general study
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complete picture of fish habitat use and connectivity. The PhD is part of the section for Ecosystem based Marine Management and the Marine Habitats research group, as well as several synergistic initiatives
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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. The degree is in physics, engineering physics, materials science, or chemical physics. You have a strong personal drive and collaborative skills in addition to an excellent and relevant scientific background
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The PhD project will involve both (a) developing foundational probabilistic machine learning methodology, and (b) applied collaboration with experimentalists in chemistry and biology. The candidate may have