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Field
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properties in solid-state plasmonic systems in the presence of disorder" Where to apply Website https://selezionionline.cnr.it Requirements Additional Information Eligibility criteria PhD in physics, chemistry
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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its fullest potential. THE ROLE During your internship you will work on a projectin the Functional architecture of neural circuits group (https://rossilab.iit.it ) coordinated by Federico Rossi
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transferability. Data pipelines for structured and unstructured data (images, text, social media, retail data) will be designed and validated on real-world case studies. Where to apply Website https
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the development of novel mathematical and computational approaches for advanced relational data analysis. Where to apply Website https://pica.cineca.it/unimc/20-br-071/ Requirements Research FieldTechnology
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Basilicata region. Where to apply Website http://www.unibas.it Requirements Additional Information Eligibility criteria Admission requirements: - PhD or equivalent degree obtained abroad; - Scientific and
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(even at a theoretical or modelling level) with neuromorphic hardware architectures or integrated photonics for signal processing. Proficiency in Python and/or C++, and familiarity with machine learning
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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Science, physics, mathematics, engineering or a related discipline Strong Python skills Experience with modern deep-learning architectures The ability to properly report, organize and publish research data