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Field
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and reliable quantification in theragnostic studies, strengthening the translational relevance of imaging data. Close collaboration with medical physicists within the unit will support quantitative
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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biological experiments, and integrating vivo two-photon imaging with optogenetic and pharmacological (DREADD) manipulations. A special emphasis is placed on expertise in migraine-relevant mouse behavioral
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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-dimensional imaging data. Actively prepare and submit postdoctoral fellowship applications. Contribute to scientific publications and grant proposals. Supervise PhD and/or Master’s students. Actively
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 days ago
of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection