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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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of experience working as a test/software engineer, or equivalent experience Comfortable writing code and building automated test frameworks (preferred languages: C#, Python, C, Rust) Knowledge of IEC 62304
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experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming Interest in lab-automation
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quantitative microscopy (live-cell imaging, high-content screening, or single-cell/single-bacterium imaging) Comfort with image analysis pipelines and scripting (Python), experience integrating ML-based image
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. Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly advantageous. Proficiency in English. Good communication skills. Good social competence
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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, geophysics, physics or a closely related field, completed by the start date Strong scientific programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent
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-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together with the statistical grounding to reason about the models you use ● A GitHub account with code you have
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research projects and publications to completion Proficiency in scientific programming (e.g., R or Python) and experience with the analysis of biomedical data Excellent written and spoken English, and the