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whom to follow and which content is shown to us. These recommendations are often based on social network analysis algorithms, which are used to compute features for all nodes in a social network based on
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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-or script-based), and metadata integration. Demonstrated expertise in both untargeted and targeted metabolomics workflows and strong understanding of statistics and statistical modeling applied
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Industrial Engineering, with specialization in hydrogen supply systems,you will join a research group dedicated to large-scale hydrogen supply and storage systems. The aim is to develop thermodynamic models
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. Possible research directions include new memory models, new dynamic techniques for detecting and handling concurrency errors, and new implementations of runtimes rethinking how concurrency is handled. Duties
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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Laboratory. The research within the division of Solar Cell Technology is dedicated to fundamental understanding as well as development of effective and low-cost solar cells based on thin film technologies
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about admission will be based on the documentation that is attached to the application and submitted before the deadline. We require very good oral and written proficiency in English and/or Swedish
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socioeconomic differences in health. Informing Policy Design: Provide evidence-based recommendations on how preventive interventions can be targeted to reduce health inequalities effectively and cost-efficiently
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have some experience with scientific programming, in particular in Python, PyTorch or similar, in particular with respect to advanced data analysis or modelling operations. PhD students at the department