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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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/Linux operating systems, with RAID and server systems; should have good scripting/programming skills (R, Python, Bash, Next-Flow, etc.); and should have a good command of English. The candidate should
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– Knowledge and experience in the application of Ion Beam Analysis techniques; – Knowledge about material analysis; – Experience in programming (i.e. Python, MATLAB, etc.). The following competencies
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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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programming skills (e.g., Fortran, Python; familiarity with Linux/HPC environments). strong motivation to work in an interdisciplinary environment bridging molecular theory, nanoscience, and light–matter
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control theory Knowledge of machine learning or optimization methods is a plus Proficiency in programming (Python, Matlab, C++, or similar) Strong interest in cutting-edge research on 6G and autonomous
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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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technical requirements working knowledge of at least one programming language (C, C++, NodeJS, Python); good knowledge of versioning tools (i.e. Git), Linux environment and programming Preferential technical
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field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g