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Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa | Spain | about 2 months ago
programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected
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the following requirements: Master's degree in electrical engineering, mechatronics, or a related field, a clear interest in the topic of the position Strong programming skills in Python, with experience in
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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior
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year experience in training laboratory animals Willingness to work as part of a team Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: Highly Preferred: MATLAB
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maintenance, and IT troubleshooting • Knowledge of Python, R, MATLAB, or other programming languages used in AI research • Familiarity with Linux environments and server management Preferred
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
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hydrological modeling at catchment scale, and familiarity with modeling tools. Proficient in statistical analysis and programming languages such as Python, R, or MATLAB. Strong written and verbal communication
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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(Python, R, MATLAB). Preferred Qualifications Expertise in CNS-targeted delivery, BBB transport, or neurodegenerative disease models. Experience with high-throughput screening platforms, or combinatorial