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. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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to the application deadline Experience from sea ice field work or polar expeditions Experience in work with oceanographic or meteorological data and models What you will do Apply, validate and improve algorithms
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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of Gothenburg in Sweden and the Norwegian Institute of Public Health (Oslo). We investigate genetic and environmental factors affecting human gestational age at pre-term birth. We work with unique genomic data
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
experience in molecular genetic approaches, fluorescence microscopy, mammalian cell culture, and intracellular infection models. Candidates should be passionate about scientific discovery, motivated to tackle
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combining genetic, physiological, and behavioral approaches, the study will dissect how hypoxic cues are detected and translated into changes in feeding behavior, providing mechanistic insight into how oxygen
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-von-hofsten/ ) conducts innovative and multidisciplinary research at the intersection of molecular biology, developmental biology and genetics. The team uses cutting-edge molecular techniques and
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a dynamic and ambitious research group with a strong focus on genetic, molecular, and functional analyses of B cell and antibody responses. The project will include laboratory-based research
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disorder. This project investigates early neural markers of psychosis by integrating multimodal neuroimaging with genetic and transcriptomic data and applying machine-learning approaches to identify