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Field
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
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modifiers. The cultures will be analysed using basic molecular and cell biological techniqu es as well as high throughput imaging and analysis to observe modifier effects on LRRK2 and LRRK2 Rab substrate
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, re-apply if you significantly improve crucial aspects of the rejected application. The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification
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scientists, from young talents to established researchers, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis
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, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO
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Biology, Systems Biology, Neuroscience, Immunology or a related field. Expertise in tool development including any of the following areas: spatial omics, advanced microscopy, label-free imaging, genetic
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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organisations to participate in an engage with all aspects of the research process, ensuring equity and parity of esteem Working collaboratively with researchers and partners across C4, including in the other
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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within multi-disciplinary clinical and research groups such as imaging, pathology, engineering and molecular biology. The post will also involve liaising with Imperial’s Joint Research Office, industry