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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image processing and analysis, amongst a variety of other specific
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combined with dispersion modelling and/or satellite data) to improve spatial concentration maps; preparation and publication of scientific papers and scenario study reports; occasional support of fieldwork
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A crystal in space represents a distinct state of matter, with spatial periodicity in its lattice structure underpinning its band structure and optical properties. This project concerns time
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(100%) Published: 26.11.2025 Limitation:Temporary (2 years) Contract:TV-L Your tasks Analyse spatial transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research
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Requirements You are an independent, highly motivated researcher with solid interdisciplinary experience in agronomy and plant genetics, and a growing foundation in spatial data analysis. You also possess: A PhD
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://cluster-ia-enact.ai/). More info about the call: https://tinyurl.com/enact-call What we are looking for: A bioinformatician, cancer biologist, pharmacist or medical doctor with PhD or MD-PhD with solid
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sciences, specifically in the areas of geoinformation systems, cartographic production systems, image data processing and analysis, spatial modeling and animation, geoinformation database technology
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A crystal in space represents a distinct state of matter, with spatial periodicity in its lattice structure underpinning its band structure and optical properties. This project concerns time
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/Machine Learning engineers. Want to leverage your skills to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals