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Field
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position will be based within the Physical Resource Theory Division and the Department of Space Earth and Environment . The Physical Resource Theory Division conducts research and provides education on
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processes and the use of economic theory and quantitative methods as key analytical tools. Major research areas include economic growth and structural change, innovation, energy and sustainability
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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), and strong publication record in international journals. Merits include development of advanced deep learning architectures (e.g., transformers, graph networks) for remote sensing, experience in large
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research. Our methodologies are equally varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary
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-edge research in particle physics and quantum field theory, while collaborating with leading experts worldwide. About us The High-Energy part of the Theoretical Subatomic Physics group performs research
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eddy covariance data, including data processing and interpretation, and knowledge of micrometeorological theory is required, 3) documented experience in writing and publishing scientific articles, 4) be
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such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic
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such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory to experiment, from basic
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knowledge towards the development of sustainable pest and disease management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current