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MATLAB, Python, R, or related platforms when applicable. Support the development of innovative analytical methods for neurophysiological signal interpretation and epilepsy research. Scientific
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established and excellent bioinformatics skills, including proficiency with coding in R and Python environments and experience in the development/application of a broad range of computational tools/packages
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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performing research as exemplified by first-authored peer-reviewed publications. Knowledge, Skills & Abilities: Data analysis skills, including data visualization in IDL or Python. Scientific writing, as shown
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methods, data mining, and machine learning methods. Documented shell script, R, Python, and C programming skills. Documented experience in big data analysis and computational tool/package development
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Python and SAS could be an advantage. Those with less experience may be considered as Research Assistant I/II. The appointee will work on research projects related to health service research, and assist in
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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
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processing, or simulation (Python, MATLAB) Experience mentoring junior researchers Salary and Rank Special Instructions Applications received by October 1, 2026 will receive full consideration. However, we