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at cell membranes to regulate key processes in cellular signaling. By combining computational modeling with experimental data, the project aims to uncover how molecular features shape mesoscale cellular
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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3 Oct 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, LTH, Kemiska institutionen Research Field Chemistry » Inorganic chemistry Researcher Profile
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2 Oct 2025 Job Information Organisation/Company Lunds universitet Department Lund University, 009999 Lund University, 260000 EHL Research Field History » Economic history Researcher Profile
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive modelling. Furthermore, serve as the metabolomics subject
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who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https
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of local and national documents but also the local processes, in relation to international standards and so-called best practice. Duties As a PhD student, you will perform both experimental and theoretical
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve