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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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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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, microbiology and virology, human genetics, genetics, genomics, molecular medicine, molecular neuroscience and cognitive neuroscience, modern imaging, physiology, plant biology, synthetic biology, and
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the Optoelectronics group led by Prof. Dr. Valerio Pruneri, renowned for cutting-edge work in advanced materials and photonic systems for next-generation communication, imaging, and cybersecurity technologies
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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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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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, computer science, biomedical engineering 11 Shaanxi Key Laboratory of Big Data Knowledge Engineering Artificial intelligence, medical image analysis 12 Digital Oral Information Modeling & Applications Team Digital
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/cells and iPSCs) Proficient in data collection (confocal imaging) analysis and interpretation, with experience using statistical tools and peripheral knowledge of computational modeling techniques