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science. Electronic structure calculations (e.g. DFT or tight-binding methods), or thermodynamic modelling (e.g. statistical mechanics, MD or CALPHAD). Scientific data analysis. Interdisciplinary research
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. Information about the Department can be obtained at http://www.dase.hku.hk/ . Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
21 Aug 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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range of topics in numerical analysis and applied mathematics, including: Approximation Theory & Numerical Integration Mathematics for Data Science & AI Combinatorial Optimization Stochastics
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
advantage. The ideal candidate enjoys precise experimental work, quantitative data analysis, and collaboration across materials science, optics, and device engineering. Ability to work in an interdisciplinary
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PhD Scholarship Develop GNSS-IR methods and integrate GNSS-derived observations with satellite data and land surface models through data assimilation to deliver accurate, high-resolution soil
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-supervised by Prof. Nicolas W. Jager at TU Berlin. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg is a
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, Mplus, or similar), or qualitative data analysis is advantageous. Familiarity with computational methods, automated content analysis, experience sampling, diary studies, or longitudinal research is