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Field
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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support professional development and a
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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. The position concerns research in the above-mentioned projects. Requirements PhD degree in Medical Image Processing or a foreign degree equivalent to a PhD degree in Medical Image Processing. The degree needs
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treat unmet medical problems in the areas of brain and eye diseases, and cancer. We are seeking a highly motivated scientist to join our dynamic, multidisciplinary research team. The ideal candidate will
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medical images and analyze multi-modal data effectively. · Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university officials, partner
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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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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work environment with social and psychological safety. What you bring PhD in neuroscience, biomedical sciences, psychology, medical imaging, epidemiology, or related field. Experience with clinical