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., Fortran, Python, etc.). Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Selection process
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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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allow you to develop competences in Analysis of population recordings (suite2p and python) Quantification of behavioural (DeepLabCut and python) Analysis of the MICrONS dataset ESSENTIAL REQUIREMENTS
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international journals or conferences. Experience in predictive modeling for forecasting or recommendation systems. Strong programming skills in Python and AI frameworks (PyTorch, TensorFlow), including GPU/cloud
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skills for scientific computing (e.g., Python, C++, or equivalent languages). Experience in national or international research collaborations. LanguagesITALIANLevelGood Research FieldTechnology
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of qualifications. Interview on: - Atmospheric Physics and Remote Sensing: Knowledge of radiative transfer and hyperspectral sensors. - Programming: Proficiency in languages such as Python, Fortran, or C
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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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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
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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