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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
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-mediated homologous recombination and transposition. Competency in imaging technology, such as confocal microscopy and fluorescent live cell imaging, in particular calcium imaging. Experience with
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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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-lyon.fr Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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and differentiation as well molecular biology and genetic modification of human iPSCs, such as Crispr-mediated homologous recombination and transposition. Competency in imaging technology, such as
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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9197), located on the Saclay campus. The laboratory brings together around twenty research teams, representing approximately 300 researchers, engineers, PhD students, and postdoctoral fellows, and