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Institute of Systematics and Evolution of Animals of the Polish Academy of Sciences | Poland | 16 days ago
imaging of the cranial and postcranial anatomy of particular species of extant vipers for this NSC project. The Master student will work on documenting in detail the skull and vertebrae (focusing also in
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tasks and imaging related to record keeping and documentation. Organizes communications and written materials to increase department efficiency. Assists with special projects, assigned office tasks
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engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems
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enterprise and are within the top 1% of universities worldwide. Apply to be part of a Horizon Europe Pathfinder science-to-technology breakthrough, targeting a paradigm shift in fabricating a novel optically
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents
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visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination Because we want you to feel seen and valued, our recruitment process at UC Davis supports openness and authenticity. Research shows that some
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tools, cartographic design, image processing, digitization, and data collection (0 to 15 points) ▫ English language level (0 to 10 points) Specific Requirements Requirements: ▫ Hold a Bachelor’s degree or
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: https://www.jobbnorge.no/en/available-jobs/job/294558/phd-research-fellow-in-deep-learning-for-imaging-of-marine-ecosystems Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294558/phd
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staff position within a Research Infrastructure? No Offer Description Implement algorithms for generating and evaluating synthetic data in Medical Imaging (Task T2.3) or Attribute Recognition in Images