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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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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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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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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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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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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
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ejection fraction and contribute to the assessment of conditions including heart failure and valvular heart disease. At present, cardiac volumes are predominantly assessed using imaging techniques such as
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 hours ago
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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home, regardless of differences in background, experiences, perspectives, and identity. For more information, see also our page about our diversity policy . Our selection procedure follows the guidelines
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brain and cardiac tissue. In the longer term, the project aims to establish large-scale three-dimensional reference datasets from tissues at different developmental stages and to develop automated image