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in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics, in a world-class research environment
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program. We offer fully-funded PhD positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics , in a
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of dissertation topics: Development of Machine Learning Frameworks for Reactive Atomistic Materials Modeling (DSP II) Profile of the graduate This Ph.D. program is an interdisciplinary study combining physical
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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis
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the Department of Physical and Macromolecular Chemistry in collaboration with the Institute of Macromolecular Chemistry of the Czech Academy of Sciences in Prague. The program covers macromolecular chemistry
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3 Dec 2025 Job Information Organisation/Company Computer Vision Center (CVC) Research Field Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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programme at UAB . Academic background and skills: Candidates should have: Bachelor / Master in Nanoscience & Nanotechnology, Materials Science, Physics or related fields; extra coursework in data science or
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The doctoral study is organized by the Department of Physical and Macromolecular Chemistry in cooperation
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Number of Opportunities Available 1 fully funded place Department Centre for Doctoral Training in the Modelling of Heterogeneous Materials (HetSys), Department of Physics About the project: Advanced
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contributing to the next generation of computing technology. You will work on CVD and MOCVD growth of 2D materials (e.g. transition metal dichalcogenides, metal oxylselenides), focusing on achieving both n-type