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data analysis software (10%), Proven programming skills: Matlab, Unix, Python (30%), Relevant publications in the project area (10%), The correspondence between the candidate's profile expressed in
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skills: Matlab, Unix, or Python (30%), Relevant publications in the project area (10%), The correspondence between the candidate's profile expressed in the letter of motivation and the requirements
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curricular evaluation purposes, proven skills in programming, preferably Python; machine learning and artificial intelligence; language models and retrieval-augmented generation (RAG); ASR/TTS; diarisation
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, Transformers, Python, PyTorch and/or TensorFlow, multimodal fusion); Active and semi-supervised learning; Software engineering for R&D (Git, reproducible environments, large-scale data pipelines). Exclusive
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. For admission and curricular evaluation purposes, proven skills in programming, preferably Python and/or C++; computer vision; computer graphics; real-time 3D rendering; 3D Gaussian Splatting, Mip-Splatting, LOD
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to underwater robotics, marine robotics, deep-water systems, underwater navigation, sensor fusion or robotic systems for ocean science. ; Strong programming skills, preferably in Python, C/C++, MATLAB
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Excel proficiency ii. Dashboard creation and data processing iii. Programming, preferably Python Workplan and objectives to be achieved: Definition of indicators and creation of dashboards for monitoring
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for future climate scenarios, including proficiency in programming languages (Fortran, Python, MATLAB, and Bash), evidenced by participation in at least three studies or projects and the publication