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the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general-purpose programming languages, for example Python, and general
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-analysis, regression modelling, machine learning). You have a solid basis in at least one common high-level programming language (e.g. R, Python). You enjoy collaborative research in international
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, Computational, or Clinical Neuroscience; good programming skills (R and/or Python); proficient in spoken and written English and Dutch (for interactions with misophonics); excellent social skills and enthusiasm
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be discussed (minimum of 0,8 FTE on-project). Your experience and profile: PhD degree in Cognitive, Computational, or Clinical Neuroscience; good programming skills (R and/or Python); proficient in
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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
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structural health monitoring, signal processing, or system identification techniques. Proven experience in data analysis using tools such as Python or MATLAB. Excellent communication skills and ability to work
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and RF electronics. Proven track record in writing international peer-reviewed scientific publications Moderate to advanced programming skills, ideally in Python Mastery of the English language, both
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, machine learning, and pattern recognition. The successful applicant will have: very strong programming skills and experience with deep learning libraries; strong python and object-oriented programming
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analytical skills and experience integrating quantitative and qualitative data. Have good programming skills (e.g. in Python, SQL, Java, JavaScript, etc.). Ability to conduct high quality academic research
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experience (e.g., Python, MATLAB) for simulation control and data analysis. Excellent communication skills and ability to work in interdisciplinary, international teams. TU Delft (Delft University