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)". Analyze and process the results within the framework of the team's research projects. Develop image analysis methods for single molecule Fluorescence In Situ Hybridization (smFISH). Perform experiments in
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functions in next-generation cellular architectures and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208
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. You also have substantial experience in a laboratory research environment. You should have prior experience with experimental molecular biology techniques, tissue processing and imaging. You also have
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, post-processing of images, patient transport, working with electronic medical records, and communication with physicians and other services. This position also includes call and holidays. Qualifications
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. Desirable Knowledge, Skills, and/or Abilities • Interest and experience in areas include, but are not limited to: Computer Architecture Embedded Systems Robotics Engineering Imaging and Machine Vision Signals
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
procedures including central line placements, drains, biopsies, embolization, and vascular access Conduct pre-procedure evaluations, obtain informed consent, and ensure appropriate imaging and lab work
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Collections Posting Number P260003 Posting Link https://www.ubjobs.buffalo.edu/postings/60578 Employer State Position Type Professional Appointment Term Term Salary Grade SL3 Posting Detail Information Position
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gut hormone receptor drug discovery programme. The successful candidate will help lead on in vitro pharmacology and in vivo testing and will also be involved in peptide ligand design process alongside
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have prior experience with experimental molecular biology techniques, tissue processing and imaging. You also have strong technical and analytical skills. Previous experience with disease models, cells