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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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design scalable numerical methods for quantum master equations, implement high-performance simulations, and help build open-source tools for large-scale spin-system modeling. By improving our ability
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improvements. Develop neuromorphic sensory systems for biomedical and other application domains. Model and simulate neuromorphic devices, circuits and systems. Investigate spike-based signal processing and
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inventorying forest biodiversity. Possible areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling
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areas include: indicators of functional or taxonomic diversity species-specific or habitat-based monitoring combinations of field data, remote sensing, and modelling new techniques for detecting and
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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
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applied statistical models, and will be part of a growing conservation technology hub at the department. The Department of Wildlife, Fish, and Environmental Studies offers a creative, stimulating, and
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the modeling and simulations. The duties may also include (e.g.) teaching, supervision of degree projects, collaboration with other University partners, administration linked to the tasks above Requirements To
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of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new scientific results. You will also take courses at the doctoral level
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of farm animals and to develop the genomic breeding methods of the future. The position involves doctoral studies where you will analyze genomic data, develop new models and simulations, and present new