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: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
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statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
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models and algorithms in Python, with documented experience in PyTorch. The applicant should be knowledgeable with neural networks and furthermore have a strong drive towards performing fundamental
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and problem‑solving skills, Solid programming experience (e.g., Python, C++, or similar), Good ability to work both independently and as part of a team, Additional qualifications that will be considered
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image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since
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of novel 2D materials (e.g., thin-film deposition by PVD and CVD). Proven programming skills (e.g., Python) for instrument control and data analysis. You are a highly motivated and independent researcher