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computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and
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deep hands‑on expertise in advanced analytics, machine learning and production‑level data science, alongside strong capability in SQL, Python or R, and modern cloud data platforms. Unlike a Data
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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for electrophysiology, imaging, and behavioral data analysis using Python, MATLAB, ImageJ/FIJI, DeepLabCut, or related tools. Maintains accurate records of experimentation, animal procedures, data analysis, and research
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deep learning, with a sound understanding of experimental research methodology documented through coursework, projects, or publications. You must have strong programming skills in Python and experience
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example through relevant work experience and/or peer-reviewed academic works. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills
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optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also desirable. Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0247.pdf CALL FOR GRANT APPLICATIONS (AE2026-0247) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within
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a relevant discipline such as Computer Science, Applied Mathematics or a closely related field. A strong mathematical background and proficiency in programming (preferably Python) are essential. Prior
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in programming, preferably in Python, MATLAB, C/C++, or similar environments. Experience in experimental work, data collection, and system troubleshooting is desirable. Familiarity with ultrasound