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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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Postdoc Research Associate Job Summary We are seeking a postdoctoral scholar to lead collaborative efforts among researchers at the University of Utah and UC San Diego in developing and applying
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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updated with the latest advancements to continuously improve processes. Qualifications Essential Qualifications: Bachelor's degree 5+ years experience in image data annotation or a related field. Good color
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* confocal imaging * in vivo fiber photometry * stereological neuronal quantification * brain surgery * viral vector injections * in situ hybridization (RNA scope) * behavioral tests such as Elevated Plus Maze
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opportunities will allow you to bridge ex vivo and in vivo approaches. Highly driven postdocs who establish efficient slice workflows may broaden their skillset to include complementary in vivo approaches
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imaging, immunohistochemistry and electron tomography to study neuronal cell migration and synapse formation. The group will actively pursue external funding to support the development of antibody panels
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experience in image data annotation or a related field. Good color vision required Ability to work at a computer workstation, performing detailed, repetitive tasks. Good visuospatial skills Exceptional
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of a range of materials, from prototype to high precision. They will have extensive expertise in conventional hand and machine tools such as milling machine and lathe, with significant knowledge and
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their primary responsibilities include data collection with frontal EEG cap, high-density electroencephalography (EEG), magnetic resonance imaging (MRI) acquisition, post-processing of neuroimaging data