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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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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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to apply Website https://www.dfa.unipd.it/ Requirements Additional Information Eligibility criteria ● Primordial universe cosmology; ● Cosmological perturbation theory; ● Compact object physics 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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: “Development of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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activity: “Mathematical and computational optimization for the management of complex socio-environmental systems and decision support.” Where to apply Website https://selezionionline.cnr.it Requirements
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(WES), and single-cell RNA-seq datasets. Proficiency in R, Python, and Bash. Knowledge of basic biostatistical methods, including descriptive statistics and parametric/non-parametric tests. Good command
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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: “Mathematical and computational optimization for the management of complex socio-environmental systems and decision support.” Where to apply Website https://selezionionline.cnr.it/ Requirements Research
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Emission Spectroscopy (XES) will be implemented. See http://www.elettra.eu/elettra-beamlines/xafs.html for more information. Job description The successful candidate will join the beamline staff in