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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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Lab seeks a highly motivated applicant with a strong background in the development, deployment and use of custom optical instruments for imaging and/or precision measurement and an interest in studying
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
Access to vocational training Social security coverage 2 788€ Monthly Gross Salary Selection process Please send your CV and cover letter Website for additional job details https://jobs.inria.fr/public
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signaling in larval Drosophila using two-photon tracking microscopy developed in the Gershow lab. The postdoctoral researcher will design and conduct imaging experiments, analyze volumetric imaging datasets
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understudied, but common phenomenon and building bridges to the clinic. Where to apply Website https://www.academictransfer.com/en/jobs/363083/postdoc-myelin-imaging/apply/ Requirements Specific Requirements
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including