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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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the Candidate has successfully defended PhD thesis) in chemical sciences or related fields; has solid knowledge in FCS (Fluorescent Correlation Spectroscopy) and/or quantitative imaging and experience at work in
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; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate - Photonics who has: a PhD
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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new research collaboration with Ames Lab focused on studying the mechanisms of biomass degradation using multimodal imaging techniques. This position will specifically focus on the use of single-walled
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molecular mechanisms by which endocytic structures remove damaged proteins in human physiology and neurodegenerative disorders. Successful candidates will have: A PhD in cell biology, neuroscience, or related
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methodology and instrumentation, as well as in the field of Biomedical Imaging applications. The laboratory has developed many interactions with research teams specialized in the fields of oncology, cardiology
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image and regulate mood states in a closed-loop system. The study will involve healthy volunteers and patients with a history of brain injury, using cutting-edge neuroimaging methods including functional
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection