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-designing grazing plans; Testing, acquiring and installing virtual fencing for livestock, integrating it with GIS planning; Integrating and preparing the collected data for scenario modelling; Creating and
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pollution associated with human activities, assessing the environmental aspects of different technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life Cycle
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user-informed machine learning models that incorporate geological/geotechnical priors to interpolate 3D rock mass properties between sparse data points. Architect and implement a new stope optimization
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vibrant neuroscience research community studying the neural circuitry of craving, reward, and addiction, with active programs in rat models of substance-use and feeding-related disorders, operant and
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element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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. The project offers opportunities to contribute to research with strong relevance for the decarbonization of industry, while gaining expertise in modelling, analysis, and potentially experimental investigation
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Apply for this job See advertisement Pursue a PhD at Nord University Would you like to help create knowledge that makes a difference? At Nord University, we develop future-oriented solutions through
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environmental pollution associated with human activities, assessing the environmental aspects of different technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life
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datasets that serve as ground truth for the cluster's ML/AI registration, segmentation, and annotation models, with documented chemoarchitectural and cytoarchitectonic conventions for reproducibility