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for Software and Systems Engineering (ISSE), Clausthal University of Technology (TU Clausthal), is seeking to fill three positions as Academic Researcher in the field of Software Engineering for Dependable AI
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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 use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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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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autism experience with at least one experimental method in cognitive neuroscience (e.g., psychophysics, functional or structural MRI, neurostimulation, EEG), analysis software (e.g., JASP), or programming
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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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parametrization, estimate N-mineralization rates from soil organic matter content and other N-balance components support monitoring, reporting and verification of greenhouse gas emissions and mitigation efforts
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research