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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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animal experiments (optogenetics, chemogenetics, calcium imaging and in vivo electrophysiology, modelling) aimed at understanding dendritic integration and its modulation by neuromodulatory inputs during
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods
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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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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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nanoplatforms for photothermia and magnetic imaging. Nanoscale Adv. 6, 126–135. https://doi.org/10.1039/D3NA00700F Lucas, T., Linger, C., Naillon, T., Hashemkhani, M., Abiven, L., Viana, B., Chaneac, C., Laurent
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biostatistical analysis. Process imaging data to perform blood flow analysis. Maintain Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences, and
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membrane separation processes. Good knowledge of English, and mandatory written and oral proficiency in Portuguese. Selection process Read the job offer at http://www.cebal.pt/images/docs/Posicoes/2026
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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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-laboratory.com/ Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID): https://www.cuimc.columbia.edu/news/new-columbia-center-will-leverage-ai-enhance-patient-care Department