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focusing on optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images. The research will also focus on methods to extract spatial
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models, spatial Bayesian methods, case time series, case crossover. Have experience with the management and analysis of large climate and/or health databases. Have experience with Linux environment and
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University. Where to apply Website https://www.academictransfer.com/en/jobs/357843/phd-physics-informed-ai-modelli… Requirements Specific Requirements We welcome a motivated team-player who recognizes
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - AI/ML Drug Discovery for Brain
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, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet/index.php About Systems Beings Lab (SBL
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to
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Germany (https://ngs-kn.de ). Its primary technological focus is on implementing innovative methods for single-cell and spatial sequencing, as well as bulk short and long-read sequencing applications. With
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, education, and participatory science focused on birds.” One of six centers at the Lab, the Center for Engagement in Science & Nature engages the public by gathering biological information at large spatial
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TLDR: Build the model backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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” data reserved for consortium members and available as soon as 2027. Autumn 2026 is an ideal time to start this PhD project, allowing continued acquisition and analysis of spectropolarimetric data prior