10 postdoctoral-image-processing-in-computer-science-"Multiple" PhD positions in Spain
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ICN2 PhD Programme Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field
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Programme description: The ICN2 offers a competitive PhD Programme to talented students who wish to develop a research career at one of the top European institutions in the field of nanoscience and
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+ publications (85% in Q1, 80% in D1 journals) - 5 international patents - Multiple technology-based companies o Multidisciplinary research clusters under senior supervision. o Relocation and settling support in
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. ✔ Close supervision by leading experts in bioelectroanalysis: 250+ publications (85% in Q1, 80% in D1 journals) 5 international patents Multiple technology-based startups ✔ Multidisciplinary research
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well as industrial partners in the field. Our PhD Fellowship Program welcomes applications from individuals with a degree in a field of science and engineering related to the ICFO research activities. Fellowships
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international patents Multiple technology-based startups ✔ State-of-the-art laboratories equipped for advanced electrochemical research. ✔ Multidisciplinary collaboration opportunities within academia and
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on AI-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and
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Nanoparticles Group at ICN2, led by Dr. Neus G. Bastús, focuses on the design and synthesis of advanced inorganic nanomaterials through wet-chemistry routes, with precise control over size, morphology
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characterization techniques. Requirements: Education: PhD in Biotechnology, Chemistry or related disciplines Knowledge: Hands on experience in the following areas: electrode/device fabrication using various printing
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to prevent and treat decompensated cirrhosis and acute-on-chronic liver failure (ACLF) and reduce mortality by investigating the human gut microbiome. The goal is to identify predictors and mechanisms