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precision medicine by improving prognostication and treatment selection for cancer patients through the development of novel prognostic and treatment-predictive biomarkers, as well as by elucidating tumor
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student to lead its theoretical side. We have predicted that stacks of planar oxocarbon radical anions – reactive molecules carrying both charge and unpaired electrons – should behave as one-dimensional
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group working on nuclear fuel performance, uncertainty quantification and advanced computational methods for nuclear engineering applications. The group combines physics-based fuel-performance codes with
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size and complexity, there is an increasing need for computationally efficient predictive tools capable of resolving the underlying physical and chemical processes across multiple scales. The project
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physically consistent predictions. You will contribute to models that link composition, processing, microstructure and properties, and support novel alloy and process design targeting key industrial challenges
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multidisciplinary expertise to predict, understand, and elevate the performance of engineering materials and structures. Within the project, you will also be connected to an international team of experts in the area
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Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating
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field. Documented experience with soundscape-related research methods, such as soundscape prediction, soundscape design or soundscape evaluation; psychoacoustic or perceptual modelling; auralization
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation