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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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, investigates how smart and autonomous technologies can support social encounters in public space. It brings together Human-Computer Interaction (HCI), Design Research, and artistic research through speculative
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conditions. Increasing plant diversity, including the use of different grass, legume and forb species, offers opportunities to improve the productivity, persistence and resilience of forage systems
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using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our collaborators, you will produce materials for these experiments and
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a doctoral student, you will also, under supervision: Contribute to various stages of the scientific publication process Present scientific results in different forums Apply for research funding
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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requires detailed imaging, beyond what is currently possible in humans in vivo. In an NWO-funded Vici project, we leverage Ultra-High Field MRI to bring the cerebellar mesoscale into view. In this PhD
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will design, execute, and analyze single-molecule experiments using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated