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legacy data, both in the form of text and quantitative predictions. PhD2: Will develop models for inverse design of new steel grades. The methods will combine existing models for forward simulation with
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. The objective of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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fertilization, both experimentally and with modelling. You will analyze long-term growth trends using tree cores from field sites along a climatic gradient, and study physiological and morphological acclimation
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fuel structure, processing of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote
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, bioinformatics, and ecological modeling. Results will inform future biodiversity monitoring frameworks, adaptive forest management, and conservation policy. At the Department of Wildlife, Fish and Environmental
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include analyzing clinical and simulated data, developing pulmonary disease models, and manuscript preparation. The position offers opportunities for professional development, mentorship, and collaboration
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training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
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months): interface definitions and adaptions of numerical models Institute Pierre-Simon Laplace (IPSL, Guyancourt, France, ca. 2 months): interface tuning and simulations for plume-in-grid models
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in this project. As successful candidate, you will investigate predisposition of trees to drought stress by long-term fertilization, both experimentally and with modelling. You will analyze long-term