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Field
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processing of samples for downstream applications (e.g., purification, assays, imaging). • Maintain accurate lab records and contribute to experiment tracking. • Coordinate with senior researchers and
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The position is co-funded by the National Imaging Facility (NIF), the Australian Research Council (ARC) Centre of Excellence in Plants for Space (P4S) and the University of Melbourne. We are seeking a Fellow
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are particularly interested in the neuropsychiatric symptom picture in Parkinson's disease and in developing better treatment. We have a specific interest in the anatomical-functional association within the STN, and
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; and to ensure optimal operating conditions in the CryoEM space for users to perform EM experiments. Competency with negative-stain electron microscopy from grid preparation to imaging is important
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transcriptomics, and 3D imaging. We are interested in the role of serotonin systems in the pathogenesis of Alzheimer’s disease and the intersection between AD and neuropsychiatric disorders. Highly enthusiastic and
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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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through their American College of Surgeons Level I Children’s Surgery Verification Center, Level I Pediatric Trauma Center, Diagnostic Imaging Center of Excellence, 72-bed Level IV NICU, Level IV Epilepsy
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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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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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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