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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention (https://www.dife.de/en/). We invite
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong
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to fluorescently labelled AP-L complexes and analyze how the cells accumulate and spread the complexes over time using live cell imaging, immunocytochemistry, ELISA, Western blot, electron microscopy and other
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in simpler (2D culture) or more complex (animal) models. The imaging data will finally be transformed into quantitative measurements to be analyzed and modeled to understand these processes
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trend-setting educational experiences at the undergraduate and postgraduate levels. The Division of Nuclear Medicine is a central component of the JGH’s advanced imaging infrastructure, supporting
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 2 months ago
, including soil organic matter analyses and 3D image processing. - Programming skills in R or Python to automate image analysis, build a classification, with the aim of making the reference framework
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neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our