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Field
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Infrastructure? No Offer Description The thesis will rely on a multidisciplinary approach combining geochemical analyses, statistical methods, and glacio-climatic modeling. The main objectives are: • Document
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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integrating RNA and spatial ribonomics data, we aim to gain a deeper understanding of key biological processes and their relevance to major diseases like bacterial resistance, neurodegeneration, and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Have a relevant PhD (or equivalent) in fungal
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-term memory, spatial cognition, legal psychology, and judgment and decision making. Areas of particular interest include attention, perception, working memory, cognitive control, psycholinguistics, and
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)-funded project led by Professor Kenny Coventry, investigating the factors that determine spatial demonstrative use (e.g. this/that/here/there) across diverse languages. The goal of the project is to
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mitigation and adaptation, resilience and nature-based solutions. Quantitative and spatial research methods, including statistical analysis, GIS and data-informed evidence for planning practice. Digital
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initiative of the Metabolomics Core Technology Platform (MCTP), the Expression & Spatial Profiling (ESP) Core Facility, the Core Facility for Mass Spectrometry & Proteomics, and the Deep Sequencing Core
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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models