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be on development of novel computational methods for gaining fundamental insights into healthy and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal
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Pak, Billerud, among others). Read more at: FibRe at Chalmers The aim of the project is to develop strategies and methods for producing lignocellulose-based materials with good thermoformability
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and reinforcement. It will build on extensive pavement performance datasets and apply advanced machine learning and statistical methods to generate predictions and assess the effectiveness of different
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demonstrations of novel methods for temporal and spatial field manipulation and characterization, approaching quantum noise levels. The methods and associated components will have applications in the measurement
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height can be used to derive urban morphology types and assess their links to climate resilience. You will develop and apply data-driven methods to integrate satellite, aerial, and ancillary geospatial
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Chalmers University of Technology. You will lead research efforts using experimental and computational methods to evaluate the effect of fission products on the thermal and mechanical properties and on
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staff position within a Research Infrastructure? No Offer Description Job description We are looking for a postdoctoral fellow to work on development of experimental methods for two-phase flows. We aim
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methods and activities. Qualifications A doctoral degree or an equivalent foreign degree in the field of thermal and/or fluid energy engineering. This eligibility requirement must be met no later than
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, social behaviours for virtual characters and human-centered evaluation methods. Excellent research and peer-reviewed publications related to the areas above. You have well developed analytical and problem
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degree, obtained within the last three years prior to the application deadline Experience from developing methods and tools for decision support in urban planning, spatial land use modelling and analysis