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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis
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discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning
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clinical colleagues. Excellent programming skills (MATLAB or Python preferred). Proven track record of publishing research outputs. Apply Before: 05/01/2026, 23:59
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of programming techniques in Python, C, and C++; Advanced proficiency in Windows operating systems and Office 365 suite; Advanced knowledge of the MATLAB environment; Very good knowledge of AVR and STM32
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. If necessary, the applicant selected for the position will be trained in indoor localization. § Good computing skills and proficiency in some programming languages, such as C/C++ and Python, and MATLAB is
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disciplines. The candidate must be familiar with the modeling, simulation, and design of photonic devices (Python, Matlab, Lumerical) as well as nanofabrication processes, particularly for silicon photonic
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(Bioconductor), MATLAB (Biologia computacional), Python (ex. pyCOBRA, pyMEW) e Bioiformatica para pesquisa em bases de dados. - Integração multiomica (ex. HPLC, GCMS)). - Agricultura de precisão. -Precision and
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, implementation, and validation. Proficiency in scientific programming, with experience in one or more languages such as Python, MATLAB, and/or FORTRAN. Ability to conduct independent research and collaborate
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tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages