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- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Dip. Ingegneria meccanica e aerospaziale-Sapienza Università di Roma
- Dipartimento Ingegneria Chimica Materiali Ambiente
- Fondazione Bruno Kessler
- INAF-Osservatorio Astronomico di Trieste
- IRCCS Casa della Sofferenza Foundation
- Istituto Italiano di Tecnologia
- Luiss Guido Carli
- Politecnico di Milano
- Scuola Superiore Sant'Anna di Pisa
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with behavior, and/or developing in silico models of neural activity. Research activities will mainly rely on computational and data-processing tools, including Matlab, Python, and software for neural
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Python environment of spectral libraries, chemometric procedures for processing drone-acquired hyperspectral data, and classification and model-selection algorithms aimed at identifying asbestos-containing
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; • skills in the management of: - computing clusters, - storage systems, - cloud and virtualization platforms; • knowledge, also acquired through experience, regarding: - Python programming, - use
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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institutions and/or private companies. Coding capabilities using Python or equivalent languages and/or knowledge of High Energy Resolution Fluorescence Detected-XAS (HERFD-XAS) and X ray Emission Spectroscopy
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in data acquisition with LabVIEW; data analysis skills (Python, Igor Pro, etc.) or simulation software. Good time management skills and ability to prioritize are expected, together with the ability
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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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topics: a) Knowledge of methods for analyzing data from cosmological surveys in general and from the Euclid survey in particular; b) Knowledge of the Python and C/C++ programming languages; c
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analysis tools (R, Stata, Python or equivalent), aptitude for international research, the ability to engage in interdisciplinary dialogue with legal scholars and and to contextualize economic research within
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, or a strong willingness to develop them during the project; experience with R, Python or bioinformatic workflows would be an advantage. Ability to work with human biological material, biobank resources