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Python for analysing spatial data, particularly in the context of remote sensing, ensuring robust data processing and interpretation strong ability to communicate effectively in both oral and written forms
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computer literacy and customer service skills. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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volunteers and one in patient populations. Be involved in all aspects of the research: recruitment, data collection, management, public and patient involvement, imaging processing, and analysis. Liaise with
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advanced instrumentation (cellular and animal models, proteomics, gene editing, lentiviral transduction, live cell imaging, super-resolution microscopy, etc.). For more information on the research themes in
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co-culture systems Have prior experience in molecular biology techniques, such as RNA sequencing, Western blotting, qPCR, immunocytochemistry, or live-cell imaging Show an aptitude for designing and
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Postdoc Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across
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of English. It is an advantage if you have: Experience of working with large text or image materials, for example organising digital archives, curating public databases, structuring and quality-assuring large
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow