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forest management under future climate scenarios. A combination of methods will be applied, including content analysis, structured observations, surveys, in-depth walking interviews, and participatory
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; Strong background in cell and molecular biology and functional analysis of muscle cells; Experience with data acquisition and quantitative analysis of physiological parameters; Fluent in English, both
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-bearing skin constructs using 3D bioprinting. To achieve this, you will design and perform various cell and tissue culture experiments. You will analyze data, using statistical analysis methods and
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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prevention. Your core tasks are: · Linking large longitudinal, family, and cohort datasets and preparing these data for analysis. · Analyzing complex socioeconomic, environmental, and molecular
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aviation, hydrogen fuel cell technology has emerged as a promising alternative to conventional kerosene-based propulsion systems. A key component of fuel cell powertrains is the air supply system, which
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extremely difficult for social, cultural, and scientific reasons. Analysis of these issues from an empirically informed philosophical point of view has been limited to date and is urgently required. In
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systems can be designed and governed responsibly. You will combine methods such as qualitative interviews, surveys, ethical and sociotechnical analysis, and experimentation in Urban Living Labs. Your main
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text analysis and examine digital communication practices more broadly, contributing to cutting-edge insights into health and wellbeing at work. We are looking for a talented candidate to join the Work