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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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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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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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Warsaw University of Technology/Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 24 days ago
integrated circuits). Knowledge of photonic integrated circuit technologies and concepts. Basic programming skills, e.g., in Python and LabVIEW. Proficiency in using the Microsoft Office suite. Strong teamwork
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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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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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, and have a duration of 3 months. Where to apply Website https://www.iastro.pt/ia/jobDetails.html?ID=282# Requirements Research FieldAstronomyEducation LevelBachelor Degree or equivalent Skills
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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
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at least one programming language (e.g., R, Python, C, or C++). The candidate should have strong expertise in at least one of the following thematic areas (expertise in multiple is a plus, but not required
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ecology. A strong quantitative mindset is essential, including good skills in data analysis using R, Python or similar tools. Experience with trophic ecology and Bayesian approaches would be an advantage