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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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, Material Science, Material Engineering, Physical Chemistry or similar. Foreign degrees must correspond with the admission criteria for the PhD program. Experience from relevant laboratory work. Fluency in
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols
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Mathematics » Computational mathematics Physics » Thermodynamics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe
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Computations (DCC). The position is connected to two Horizon Europe projects, UPPRAISE and MEDUSA, as well as research activities within LTU’s AIC³ Lab (Automation, Industrial Computing, Communication, and
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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of High Energy Physics (HEPHY) of the Austrian Academy of Sciences in Vienna, Austria, performs a rich experimental particle physics research program participating in accelerator and non-accelerator-based
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experimental quantum optics and information science? Would you like to work on groundbreaking physics experiments with real-world applications for quantum networks? If so, keep reading! In the future, quantum