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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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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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and/or Python Ability to work in a challenging and international environment COMPENSATION PACKAGE A yearly gross salary up to 35.000 EUR Private health care coverage depending on your role and contract
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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: The selected candidate will join the ERC Starting Grant project “CUE GO – Contextual Radio Cues
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; Advanced knowledge in handling weather and climate-related data; Fluent in Python programming; Ability to write robust and well-documented code; Good knowledge of written and spoken English; Good knowledge
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(UNIBO, Italy), https://phd.unibo.it/etit/en Supervisors: Prof. Anna Guerra Project Context: The selected candidate will join the ERC Starting Grant project “CUE-GO – Contextual Radio Cues for Enhancing
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: wiring, use of oscilloscopes, multimeter, solder station etc. Experience in programming languages such as C/C++ and Python; Experience with ECAD tools (Mentor Graphics or comparable). Experience with
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-theoretic models is a plus; Proficiency in programming (e.g., Python, Matlab, C++); Strong interest in fundamental research on autonomous systems and decision-making. No prior knowledge of contextual radio