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-scale analyses. Experience with geospatial analysis, programming, or modeling (e.g., Julia) is highly desirable. If you are passionate about uncovering how Earth’s dynamic processes shape life, we
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models or methods (a.o. LCA, carbon calculation, material flow analysis, input/output analysis). Demonstrable experience developing and publishing research related to carbon calculation applications
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and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
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and policy choices Effects of intergovernmental fiscal transfers Fiscal decentralization and residential sorting The work might be based on theoretical modelling and/or empirical analysis. Profile
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Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a multidisciplinary team to accelerate functional thin film development Your work will be part of a larger
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residual stress analysis. The objective will be to investigate these phenomena using simulation tools and via sophisticated experiments. Besides, the candidate is expected to supervise BSc-/MSc students
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analysis, and/or qualitative/quantitative methods. A demonstrated interest in topics pursued by the Chair team, such as knowledge creation, knowledge management, innovation processes, digital technology and
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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, serving as a basis for statistical evaluations of stone formats, brick bonds, and the like. Where applicable, you also perform geometrical analysis of vault geometries and traces of formwork. You interact
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and