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Field
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the functions of Pleistocene Expedient Osseous Technology with an innovative approach that integrates tribology with AI". The fellowship will ideally start on 1st January, 2026. The UMR5199 PACEA is a joint
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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in medical image processing, in particular MRI - Knowledge of MR spectroscopy (or a strong desire to learn it quickly). - Expertise of artificial intelligence techniques and deep learning - Proficiency
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publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered
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protein engineering, synthetic chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology
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electrophysiology, calcium imaging, optogenetics, animal behavior is preferred, but we are interested in applicants with different backgrounds Background in data analysis, image processing, physics, engineering are
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publication record. Demonstrated ability of leading publications in high-impact journals in the area of mining, mineral processing, geological engineering and geosciences. LanguagesENGLISHLevelExcellent
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research