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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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acting on operators, such as computational methods for fractional powers of differential operators. A particular emphasis will be on the development, implementation and error analysis of finite element
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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interventions. Further, the development of artificial intelligence opens up entirely new possibilities for analyzing such large-scale data. Within the subject area of clinical epidemiology, there are ample
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
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, and troubleshooting system failures Handover to incoming operators on shift changes Radiation safety tasks when necessary Machine development, automation, and documentation tasks The role of Accelerator
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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organisms. Our main research areas include interactions between plants and microorganisms, and other forms of stress such as plant growth and development, biotechnology and metabolic manipulation, regulation
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, Robust and Secure AI-Supported Development, and Resilient Distributed and Agentic AI. RESIST will drive world-class research in the intersection between AI and cybersecurity through a strong, stimulating