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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 5 days ago
teaching activities of Animal Nutrition, 3) Cooperation in research projects with gut microbiome, metabolome and nutrition aspects as well as co-supervision of PhD and Diploma students, 4) Preparation of own
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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deep learning including data collection, architecture development, model training, and validation Interest in software development, with particular emphasis on the Python programming language and
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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students, and generate reports or publications. Qualifications Required Qualifications: -PhD (must have defended thesis) -NK cell biology and gene editing. -Experience with CRISPR editing also required
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Postdoctoral Associate - AI3 Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in hand by the start of the appointment. Preferred Qualification: A
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce. Research: We develop and
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5566-LIOREN-010/Default.aspx Requirements Research FieldAstronomyEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldAstronomyYears
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(negotiable) Project details: www.boundariesofdrinking.pl Requirements: PhD in the humanities or social sciences, obtained no earlier than 7 years ago (this period may be extended according to the post-doc
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with