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Essential: Proficiency in fluorescence microscopy techniques (confocal, wide-field, live-cell); experience with microscopy-microfluidic systems or single-cell analysis; strong background in image analysis
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practical experience in deep learning-based machine learning or natural language processing. Strong background in statistical modeling. Strong scientific writing skills. Expertise in medical imaging
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The MVAIT Lab at LKCMed seeks to hire a Research Assistant (RA) who will play a role in pioneering research on medical image processing, medical visual technology and LLM, and the interface of AI
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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, Quebec, Canada, H3G 0B1 where you will have access to a desktop computer, network and statistical and image analysis software. The postdoctoral appointment will not involve any clinical service to hospital
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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KTH Royal Institute of Technology, Scool of Electrical Engineering and Computer Science Job description Cellular morphology reflects fundamental biological processes such as division
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image/data-processing workflows. · Ability to deliver an independent research project and communicate results clearly. · A collaborative approach suited to multidisciplinary and consortium-based
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-evo-devo expertise and imaging skills of Anthony and provide additional training in molecular genetics, directed evolution experiments, fluidics and advanced light microscopy. Annual Salary: $48,000.00
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internationally. The focus of our work is the investigation of severe mental disorders, including but not limited to schizophrenia and bipolar disorder. We study structural and functional imaging changes in