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- and medium-term macroeconomic outlooks using macroeconometric models, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods
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of synthetic biodegradable polymers. These materials-ranging from structural to water-soluble polymers-are designed for complete microbial metabolic utilization in their intended receiving environments (e.g
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and duty-cycling strategies responsive to structural dynamics. Energy harvesting and lifetime optimization. Integrate multi-source energy harvesting (vibration, solar, RF, etc.) and dynamic power
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that control microbial surface colonisation and biofilm assembly, structure, and rheology. We use a broad spectrum of technologies in materials science, microbiology, and microfluidics, as well as advanced
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for improving implant longevity and patient outcomes. In this project, high-resolution spectroscopic imaging will be employed to map chemical changes and structural degradation in the PE material, while
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; German is beneficial. Experience in proposal or publication writing is an advantage. Required people skills Highly self-organized/structured way of working and solution orientation. Strong motivation
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earth observation with applied forest monitoring, including tree species identification, forest structural changes, and forest resilience assessments, with a growing focus on spectral and functional trait
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/or (Raman) spectroscopy High motivation and an independent, structured, and goal-oriented working style Workplace Workplace We offer The Energy and Process Systems Engineering (EPSE) Group focuses
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programming skills in R (Git, Stata and/or Python are of advantage) Proficiency in data cleaning and management and experience working with complex datasets Reliable, structured and precise working style Strong
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well as skills in dynamics & structural health monitoring, data analysis and modelling, and interest in laboratory-based experimentation and engineering applications. A solid knowledge of English as the spoken and