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Field
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) experience with collection and analysis of human physiology, EEG, eye-tracking and behavioural data in a cognitive neuroscience lab. Good to advanced programming skills (Matlab, Python, R) for experimental
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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on advanced modelling Knowledge and experience with the any of the following software: Matlab Python, other Preferred (not all): Knowledge and/or interest on vulnerability identification Experience in
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, numerical methods, or Geant4 / Monte Carlo simulations. Proven experience in scientific software development using C/C++, Python, MATLAB, CUDA, and/or other relevant programming tools. Demonstrated ability
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assembly. - Excellent English proficiency Skills: - Strong competence in the use of bioinformatic tools such as plink or bcftools is a must. - Excellent command of R and Python scripting is required
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) Scientific programming (Python, MATLAB, R or similar) LanguagesENGLISHLevelGood LanguagesSPANISHLevelExcellent Research FieldEnvironmental science » Water science Additional Information Benefits Participation
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, MySQL, Weka, Python, Java, MATLAB, R, HTML, CSS, JavaScript/jQuery). - Advanced skills in UX/UI design and editing software (Adobe Illustrator, Adobe Photoshop, Adobe InDesign, Adobe Premiere Pro), as
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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» Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills: Programming: FEA, Python and MatLab. Other requirements to consider: Teamwork. Adaptability. Communication skills