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Field
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expertise in nonlinear numerical simulation Reliability and risk assessment – probability of failure and its consequences, using state-of-the-art structural reliability methods and target reliabilities
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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the opportunity to become an expert in both thin films and electrochemistry – fields that are key to numerous crucial technologies and sustainability. Depending on the task at hand, you will work
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conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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to become an expert in both thin films and electrochemistry – fields that are key to numerous crucial technologies and sustainability. Depending on the task at hand, you will work independently, as a part of
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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scientific writing, bifurcation analysis or numerical ocean modeling are considered a plus. Our offer A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic