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Spectroscopy, Raman Spectroscopy, Spectroscopic Ellipsometry, …) Ultrafast Femtosecond Time-Resolved Pump-Probe Spectroscopic Ellipsometry and Time-Resolved Photoluminescence Data evaluation (commercial software
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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techniques. We built pipelines based on AlphaFold and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based
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knowledge of electrochemistry and experience with fuel cell test Ability to cooperate across disciplines in an international environment Independent, structured and target oriented way of working Software
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Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
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Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
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, C/C++ and/or Java, etc.; experience with the implementation of specialized transport modelling software, optimization algorithms and procedures; strong ability and desire to learn new programming