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Field
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improvements. Develop neuromorphic sensory systems for biomedical and other application domains. Model and simulate neuromorphic devices, circuits and systems. Investigate spike-based signal processing and
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access
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and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access to the very latest analytical
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oral communication skills in English. Meritorious: Knowledge and experience in: working with statistical methods and analyses. programming and data processing. We place great emphasis on personal
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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process, is unique and enables the development of unprecedented nanocomposites such as those envisioned in this project. The research provides fertile ground for scientific innovation with the present
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of models of clouds and climate at Lund. A new climate model is being developed to represent cloud processes with more realism in the project. The post will involve global modeling with this new climate
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simulations will be combined with social science perspectives on policy processes, communication practices, and societal challenges. Both departments have a strong emphasis on interdisciplinary collaboration
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information, for example data derived from remote sensing, use point process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating