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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
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to compute the predicted ZTs via first principles calculations. - Computer simulations: ML + DFT - Scripting (Python) - Analysis of the results + writing publications - The position is part of an ANR-DFG
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experience designing, building, and optimising automation frameworks (e.g., Playwright, Selenium, or similar) for UI and API testing, using TypeScript, JavaScript, Python, or Java for automation framework
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de). You can find more details on the institute webpage: https://www.ikz
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• Real Estate • Business Innovation & Technology and Communications • The Finance & Administration organization Please visit the UW Facilities web page for more information: https://facilities.uw.edu
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, electrical engineering or comparable A good knowledge of sensors, experimental setups and adjustment Programming knowledge in Python for evaluation and validation Experience in measurement technology in
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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circuitry and electronics problems related to transistors and microcontrollers C/C++ and Python programming languages Use and develop network systems using various ISM communication protocols like WiFi
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about the world’s biggest problems. Technical Skills or Knowledge: Demonstrated proficiency in data science, such as R, Stata, SQL, Python. Web and/or software development skills. Product, UX, and/or
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. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self