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Posting Details Position Information Job Title Breast Surgeon Position Number 600235 Vacancy Open to All Candidates Department EHH BSOM Surgery Oncology Department Homepage https://surgery.ecu.edu
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), e. a cumulative IF above 30, 2) experience and skills in the processing of medical signals and images, multimodal data, implementation of deep learning methods, data science, 3) programming skills and
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aerospace research. 3. Perform complex techniques or procedures including but not limited to: a. Utilizing confocal, fluorescence and live microscopy to image tissue and cells. b. ELISA, mass spectrometry
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Previous Job Job Title Post-Doctoral Associate - Quantitative Imaging & Human Retroviruses Next Job Apply for Job Job ID 371962 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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member of our team, you will receive individualized mentorship and rigorous technical training in advanced molecular and imaging techniques, including: ⢠In vivo mouse models of gene therapy ⢠Complex
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experience: behavioral and/or molecular neuroscience; or bioinformatics; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light
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dementia, driving a step change in our understanding of neurodegeneration, and accelerating the discovery, development and delivery of interventions that will help diagnose, treat, and ultimately prevent
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into the function of intracortical feedback pathways in learning and memory. The candidates should have a Postgraduate degree at PhD level (or nearing completion / submission) in the area of Neuroscience and an
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
environmental factors shape these processes across the adult lifespan. The advertised PhD position is embedded in the ANR-DFG funded international collaborative project “Multi-SVD-glyph”, conducted in partnership