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data collection, integration, and modelling and 2) co-constructing case studies to demonstrate how this workflow may be applied at the local scale but also integrated internationally. This postdoc
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science-related applications. Explicitly accounting for symmetry is not the standard approach in machine learning – a well set up model should be able to ‘detect’ the symmetry automatically. One way
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and model organisms. Our main areas of research comprise the interaction of plants with microorganisms and other environmental stresses, plant growth and development, biotechnology and metabolic
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment
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. Our innovative work focuses on the dynamic coupling of ion and electron movement. Our research topics include synthesis, material science, theory and modelling, device physics, nanotechnology
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systems is mandatory. The position requires a strong motivation for research, good verbal and written communication skills in English. Assesment criteria Additional knowledge in AI, modeling and formal
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collaboratively in a multidisciplinary research environment. Excellent communication skills and a strong publication record. Hands-on experience in in vitro and in vivo (e.g. invertebrate) models. About us The goal