67 parallel-computing-numerical-methods-"Prof" positions at Umeå University in Sweden
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of Computing Science, which is characterized by world- leading research in a multitude of scientific fields and is ranked highly in international comparisons. The department has been growing rapidly in recent
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within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting May 1, 2025, or as agreed. Department of Computing Science Our department conducts world-leading
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. Project description We aim to discover and study the function of novel proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental methods
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-core fibers. Fluency in English, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability
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analyses within nationally prioritized data-driven life science research projects, using state-of-the-art computational methods Develop and implement necessary tools and workflows for such analyses Educate
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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of extremist messages, or the use of social media or AI in politically motivated criminal practices. The dissertation work may be conducted using qualitative, quantitative, or mixed methods, and should connect
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area “statistics to serve society” which focuses on developing statistical methods and software for the analysis of large and complex collections of data. The PhD student(s) is planned to be connected
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. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of