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classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
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, purpose, methodology/implementation, what the project would contribute to the field and to MDU's educational programmes). The scientific publications that you do not have in digital form are to be sent by
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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resilience. Experience with advanced modelling techniques for logistics and supply chain analysis (e.g., simulation tools, digital twins, or data-driven optimisation methods). Knowledge of food quality and
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the organization. Application The application is to be completed online. Please submit your application by clicking on the "Apply" button below. The scientific publications that you do not have in digital form
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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management. Our research is problem-oriented and empirical, with strong emphasis on industry and societal relevance. Sustainability needs , digitalization, information technology developments and automation
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. The work is performed in connection to two ongoing research projects “Probabilistic multiscale modelling of the macroscopic crack growth behavior in heterogeneous materials” and “Optimized Digitalization
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application by clicking the "Apply" button below. The scientific publications that you do not have in digital form are to be sent by post to: Mälardalen University Division of Human Resources Ref.no: 2025/0338