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encoded Ca²⁺ indicators, electrophysiology, molecular biology, optogenetics/chemogenetics, and transgenic mouse models to understand how cellular signaling networks coordinate normal gut motility and
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. The current focus of the group is on transboundary and shared water resources modeling for sustainable management and binational cooperation, with a strong emphasis on hydrologic modeling, participatory
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analysis, and/or numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. City
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, the major responsibility of the research associate is to carry out the research tasks in the project, which include literature survey, data collection, flume experiments, computational modeling, result
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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molecular approaches, genetically modified animal models, advanced confocal imaging, flow cytometry, innovative culture models such as organoids, and working with clinical samples. The main responsibility
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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study programs to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. Luleå University of Technology is one of Europe’s leading
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development and policy translation. The underlying methodology is grounded in LHS principles and diagnosis-specific rehabilitation continuum (DRC)1 models and frameworks such as the Multilevel Limb Loss and