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the European framework) Know-how: Confirmed experience in stereotaxic surgery in mice Practice of behavioral analyses Ability to develop data analysis scripts Ability to design, prototype and integrate
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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pipelines for joint analyses of imaging data from the Rubin Observatory’s LSST and NASA’s Roman Space Telescope. Appointment will initially be made initially for two (2) years, renewable upon mutual agreement
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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in core molecular imaging technology Advanced knowledge of preclinical
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disease on memory processes. Research projects will involve functional brain imaging techniques (fMRI), behavioral measurement, and computational modeling approaches. Opportunities for collaboration within
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in core molecular imaging technology Advanced knowledge of preclinical
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during