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Field
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addresses a key gap in current industrial practice, namely the lack of formal system models that integrate structural specifications with spatial and temporal behavior. Building on the Information Modeling
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techniques for spatial prediction and mapping of forest species composition at the watershed and larger scales. Develop novel analyses to assess the effects of prescribed fire and understory removal on forest
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of batteries in future electricity systems, with a particular focus on Norway within an interconnected European context, including crosscountry comparisons and spatial co-benefits and trade-offs. Please contact
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data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and computational in nature and will include: Developing minimal active-matter
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, lipidomics, transcriptomics, spatial biology, and associated metadata, often across time, dose, or perturbation conditions, to enable phenotype-driven prediction and insight. Developing AI models to address
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. The successful candidate will use oceanographic observations to investigate the spatial and temporal variability of the Antarctic Slope Front Current system and the propagation of anomalies along and onto
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in research in Spatial and Landscape Ecology. Workplan and objectives to be achieved: The selected candidate will carry out R&D activities within the scope of the 2Qua project, aiming to consolidate
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postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing wholistic adaptive management systems. BioM is an interdisciplinary Convergence
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studies of visuo-spatial and language skills in toddlers at elevated likelihood for autism in comparison with neuro-typically developing children Recruiting and testing participants Analysing datasets and
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data structures (e.g., spatial models or second-order meta-analytic models). The appointments are full-time positions and made for a period of 3 years, 10% of which is devoted to required duties, usually