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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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science. Project description (DC10 – CNR-IFN) Project title: Design and Micromachining of Microfluidic Devices for Chiral Sensing Applications (WP3) DC10 aims to develop next-generation lab-on-a-chip
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to learn Spirit of innovation and creativity Good in time and priority management Ability to work in a challenging and international environment Capacity to work autonomously and collaboratively in a highly
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technical university where more than 45.000 engineers, architects and designers are educated each year. PoliMi has always aimed at the quality and innovation of teaching and research by developing a fruitful
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, and should be comfortable collaborating across clinical and laboratory environments. A strong sense of responsibility, willingness to learn new techniques, and the ability to manage multiple tasks