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approaches for N flux modeling and analysis. The successful candidate will be responsible to answer research questions related to the potential of integrated framework of sensing, modelling and control
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data science. The findings will provide a knowledge base for social innovation in active ageing, including models of effective services in terms of their health impact, understand how large reach can be
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nature and forests and a keen interest in forest ecology Keen to carry out fieldwork (Brazil, Belgium, UK and Australia) Previous experience with (terrestrial) laser scanning and 3D modelling is a plus
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) developing (new) GeoAI methods to enable fine-grained spatial data modelling of street environments, 2) elucidating the contribution of geographic environment to crimes and crime diversity, 3) large-scale
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preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate
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combining mouse models of altered sex hormone action with molecular biology and omics approaches, the PhD student will contribute to new insights into how sex hormones regulate biological processes
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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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gatekeepers: from individual trophic groups to complex communities” Description Soil biology has received overwhelming and ever increasing attention in recent years at national, European and global level, with
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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