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Job description We are hiring a doctoral fellow on the topic of building stock modelling. Starting from reviewing the existing building stock modelling approaches, you will develop a building stock
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because they have their own renewable energy sources (e.g., solar panels, wind turbines) and energy storage (e.g., industrial batteries), but more importantly because their entire production system has been
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margins in breast cancer surgery, based on a novel Raman spectroscopic technology (IOARM-Raman) that will fit in the surgical work flow. To determine the potential improvement of resection margin status in
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the global carbon cycle and the global climate. The shape and size of trees within a forest are impacted by forest dynamics (e.g. tree growth and forest disturbances). Our current knowledge about forest
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support tasks for the department of Building Sciences. Currently, funding is provided for 1 year. The research group will support the acquisition of additional funding. Profile You hold a Master degree in
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Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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a step-change in our ability to observe, quantify and understand forest disturbances and recovery by using time series of the most detailed structural and radiometric 3D forest models ever built
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model of the ultrasound-sensitive hippocampal formation as environment. The candidate will develop surrogate models of the hippocampus to allow for more extensive optimization of the controller. Finally
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depth and EEG electrode measurements. Finally, the closed-loop ultrasound technology will be tested in the intrahippocampal kainic acid mouse model in this Ph.D. project. You hold a Master’s degree