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of energy-aware planning and scheduling in manufacturing, -experience in programming (Python, C/C++, Java, etc.) and implementing intelligent automation, -previous participation in EU or international
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different streams. Apply for grant applications that lie in the center’s strategic interest and integrate research and advance the center’s research portfolio. Facilitate Knowledge Integration: Bridge work
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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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between passport templates and openLCA, enabling rapid recalculation of environmental impacts under different reuse or recycling scenarios. This approach prioritizes the methodical adaptation of existing
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analysis will be used to study the seismic response of prototype structures for different scenarios. Hence, the project integrates advanced element-scale, model-scale and in-situ testing with state
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psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific research good organizational and communication skills to professionally interact with patients and
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at different levels to upscale the processes and quantify larger scale greenhouse gas emissions. There is an opportunity to work together with a larger group of researchers within ongoing projects
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is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in protein structure analysis. Required
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of upscaling of permafrost thaw and greenhouse gas emissions. The candidate will work with ample of existing observational data at different levels to upscale the processes and quantify larger scale greenhouse