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be hired as PhD student researchers at the CBGP. HOW TO APPLY: Please send your CV, including your chosen research project name and code, directly to the PI(s) of the project. You can contact
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cell biology, and experience working with plants are pluses. We offer training in advanced imaging, and various molecular & genetic skills for investigating fundamental cellular mechanisms. The lab is
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their performance using microplate reader measurements, flow cytometry and fluorescence microscopy, among other techniques. After building and characterizing prototype circuits, you will fine-tune them and connect
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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domains with advanced methods development. Various brain imaging methods are employed to describe or manipulate behaviour, including (intracranial) EEG, functional MRI, and non-invasive brain stimulation
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Description Start date/duration 01.12.2025 for 4 years Job profile: Your tasks: Dissertation on dwarf galaxies in the field of galaxy formation and evolution Independent research on dwarf galaxies using imaging
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content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and
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dynamics to cellular metabolism. The student will receive broad training in cell culture, genome engineering, live-cell imaging, biochemical assays, proteomics, and computational data analysis, and will work
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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype