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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with symbolic computer algebra systems such as Mathematica is required You will need strong
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no more than three years prior to the application deadline*. A working knowledge of advanced methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with
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protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology
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, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you
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research group that views automation engineering as a key enabler for new methods and applications, driving and benefiting from the ongoing digitalization of society. Our research emphasizes social, economic
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. The application deadline is September 17, 2025. Project description This project involves the use of optical metrology techniques to detect early signs of decay in fruits. Traditional methods for assessing food
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
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the work will be detailed catalyst characterization. A wide range of methods will be used, including XRD, BET, SEM, TEM, TPR, TPD, DRIFT, and XPS. Atom Probe Tomography (APT), with sample preparation
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to the development of advanced methods for electrode fabrication, with a particular emphasis on electrophoretic deposition. You will also conduct electrochemical testing under applied magnetic fields to improve