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Your team The macromolecular crystallography (MX) group is responsible for the two beamlines BioMAX and MicroMAX and the fragment screening facility FragMAX, supporting structural biology research
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mathematical modeling of infectious diseases applied to grided spatiotemporal data inputs. The project involves reviewing existing literature and especially synthesize model structures and parameters for the eco
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Your team The macromolecular crystallography (MX) group is responsible for the two beamlines BioMAX and MicroMAX and the fragment screening facility FragMAX, supporting structural biology research
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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, TensorFlow), is essential for developing and adapting advanced AI models to integrate heterogeneous datasets. You exhibit solid analytical skills, the ability to design robust computational workflows
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Research Infrastructure? No Offer Description Are you passionate about advancing high-energy physics? Join our internationally recognized team at Chalmers University of Technology and contribute to cutting
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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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focus is the interplay of these factors with mitochondrial translation systems and respiratory chain complex assembly. We use the yeast Saccharomyces cerevisiae as our primary research model. In
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal