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on challenges related to computer vision for geophysical image data. You will investigate and develop robust methods for training models, exploring/developing approaches for multimodal data, utilize context
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 5 days ago
research experience Demonstrated expertise in studying membrane proteins using modern molecular, cellular, and genetic approaches, such as gene editing, fluorescence imaging, protein biochemistry, and
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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, behavioural training, and neural circuit dissection techniques, as well as experience with in vivo electrophysiological recordings or imaging approaches with single-cell resolution. The postholder will be
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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, stem cell biology, RNA/chromatin biology, immunohistochemistry, immunology, sequencing analysis and bioinformatics, flow cytometry and imaging-based analyses, tissue processing, 3D/organoid culture, and
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work outside of his/her discipline to accomplish project goals. · Experience with flow cytometry, immunofluorescent imaging, confocal microscopy, ELISAs, and PCR. · Experience with microfluidics
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T-BIOM Preferably publications related real/AI generated image classification, biometrics or video processing Strong software implementation skills. Preferably 4 years+ research experience, including
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software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences and journals. To be involved in the mentoring