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-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 responsibilities
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bioinformatics training sessions or workshops Education and training PhD or master's degree in bioinformatics, Computational Biology, Computer Science, or a related field Languages Proficiency in spoken and
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NextGenerationEU/PRTR, entitled "Integrated prototype of a nanophotonic microchip biosensor for ultrasensitive multiplexed analysis of sexually transmitted infections (TYPLEX)". The job will be essentially related
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light sources, quantum frequency conversion and quantum processing nodes. The current position will be within a project aiming at developing quantum network nodes with laser cooled atoms, including highly
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interested in pursuing a PhD, to explore the evolution of eukaryotic chromatin states and components. We are looking for enthusiastic candidates broadly interested in evolutionary biology, gene regulation and
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established, will be performed. The Research Specialist will also be using routinely bioluminescence/fluorescence in vivo imaging using the IVIS Imaging system and occasionally Magnetic Resonance Imaging
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recognition, automation science, complex systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first
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technical needs for user experiments, an electrochemical microscope will be implemented, to reach high imaging resolution and a great flexibility concerning various electrochemical environments. Main Tasks
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to the philosophy of "Creating to Know, Creating to Use", the Institute systematically deploys its disciplinary efforts around the new research paradigm of “quantitative synthetic biology”. On one hand, it focuses
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. The candidate will provide guidance and support to MSc and PhD students, assisting in the supervision and training of junior researchers in areas such as device fabrication, biosensor assembly, and