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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify
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Toggle navigation Your VUSM Current Students Postdocs Residents Basic Sciences Faculty Affairs Clinical Faculty Affairs Alumni Patients A-Z Directory VUSM Catalog School of Medicine Vanderbilt
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
Laboratory". Where to apply Website https://jobrxiv.org/job/postdoc-ai-reserach/?utm_source=euraxess Requirements Additional Information Work Location(s) Number of offers available1Company
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
highly motivated AI Scientist (best: Computational Pathologist / Machine Learning Scientist for Digital Pathology) (f/m/x) to join our efforts in developing AI-driven virtual staining pipelines for cancer
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a lifestyle gradient. The postdoc will mine this diversity to isolate organisms, validate biosynthetic gene clusters (BGCs), characterize microbial metabolites, and functionally test candidate
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to: frederic.crevecoeur@uclouvain.be . Where to apply Website https://academicpositions.com/ad/universite-catholique-de-louvain/2025/postdoc-… Requirements Research FieldBiological sciencesYears of Research Experience4
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, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience with modern NLP methods, including transformer models
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payroll to appropriate sources and enter directly into Workday, with PI approval. Documents and confirms with PI all salary sourcing for project personnel, including research faculty, postdocs, staff and
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts