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Field
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applicant promises to work full time at SPST upon acceptance of the offer. Application Procedure: Applications should include curriculum vitae, a 3 pages statement of research interests and the names of three
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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roadmap for the IREC at national and international levels, • Establish processes for aligning the institute strategy for bringing research results from laboratory to the market facilitating pathways
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skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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prototyping processes. Specific Requirements - Conocimientos de lenguajes de programación (MongoDB, MySQL, Weka, Phyton, Java, Matlab, R, HTML, CSS, JavaScript/jQuery ). - Manejo avanzado de diseño UX/UI y
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. MAIAMI aims to establish a paradigm shift in materials science by embedding mechanistic AI agents into physical experimentation cycles—enabling rapid, transparent, and reproducible design of advanced
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of inorganic or colloidal synthesis methods. Familiarity with microscopy image processing or quantitative analysis tools (e.g., ImageJ, Python-based analysis) will be valued. Motivation to work at the
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functions in next-generation cellular architectures and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208