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Field
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van der Waals materials; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD
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; ready-to-use and up-to-date knowledge of spectroscopy and microscopy; experience with strain engineering and hybrid heterostructures; excellent command of English language. TUD strives to employ more
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application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable semantic querying and reasoning over materials-science/physics corpora Developing
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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5 Sep 2025 Job Information Organisation/Company Biomedical Center, LMU Munich Department Institute of Cardiovascular Physiology and Pathophysiology Research Field Medical sciences » Medicine
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 6 hours ago
-)supervision of Ph.D., master and bachelor students Your profile # Ph.D. in chemistry, electrochemistry, radiochemistry, physics, materials science, or a related discipline # Strong expertise in electrochemistry
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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. The project builds on recent advances in NPL synthesis using Cu-Zn-In-S as harmless material alternative to the toxic CdSe, and will be conducted in collaboration with the faculty of chemistry at TU
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, including candidates who are about to complete their degrees) in physics, material science, chemistry or related fields In addition to the above, essential requirements include: Knowledge in semiconductor
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with