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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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, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision
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related to development environments such as Python and PyTorch, as well as existing libraries for predictive maintenance. The research will also extend to digital vision systems that may be used to broaden
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., Python, Matlab, C++). A passion for engaging in cutting-edge research and innovation. Salary: Standard Italian PhD scholarship. Application Window: May 30 – June 30, 2026 Contacts: Interested candidates
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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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/Offerte_di_lavoro_A_Research_position_in_the_field_… Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications Software development skills (preferably in C, Python, Matlab, C++, Java); Ability to carry out an independent
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Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
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(Python or C/C++) with experience in systems engineering and software development. Solid knowledge of both basic and modern methods in machine learning, NLP and computer vision, including supervised and
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, computer science, data science, or equivalent applied to biology, preferably with cardiovascular focus. Proven expertise in RNA-Seq and integrative multi-omics analysis and interpretation. Proficiency in R, Python
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, thermodynamics, modelling; and/or ML/AI, data science, statistics, image analysis, scientific programming (Python/R/Julia), HPC; Strong motivation for interdisciplinary research and international collaboration