109 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" PhD positions at Nature Careers
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
materials science or a related discipline • Some knowledge of the theory of materials and experience with computational methods in materials science • Some experience with machine-learning interatomic
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
Would you thrive in a world-class team addressing grand challenges in catalysis science? A research position is now open for experimental research in advanced nanoreactors and operando electron
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no. 101179234. Why apply to the INTERACT programme? INTERACT offers a unique opportunity to join an international and interdisciplinary PhD program within biology/biomedicine, physics, chemistry or engineering
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, e.g. physical engineering, electrical engineering, mechanical engineering or similar Salary group E13 TVöD Temporary contract until 31.03.2029 Full-time / suitable as part-time employment
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diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide chemistry is required, as well as a
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social dynamics, as well as the interactions between the two. To this end, we are looking for colleagues from a wide range of disciplines, including the natural sciences as well as the social sciences. We
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Qualification: The candidate should possess an MSc degree or equivalent in Telecommunications and Computer Science. Experience: The ideal candidate should have some knowledge and/or experience in several
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actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs at the University of Vienna - Disseminate and present your work and represent the group through
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
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should hold a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field Solid background in machine learning and natural