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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in biology, radiobiology, or radionuclide imaging
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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sustainable, electrified alternative to the Haber-Bosch process. You will design hybrid catalyst systems (heterogeneous and homogeneous), engineer innovative electrochemical reactors, and pioneer radical
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on previous employment with start and end dates Copy of PhD certificate. If awaiting PhD, provide a written statement from the supervisor List of publications A description of your research interests in
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evaluation process etc please visit: ambercofund.eu Minimum requirements • PhD in structural biology/chemistry, with excellent knowledge of biochemistry and molecular biology, including experience in protein
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experience with 3D systems. Selection process Candidates should send to rita.manco@inserm.fr a CV with publication list, short summary of previous research achievements (1 page) and names and contact details