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Field
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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, e.g., Python, Java, or C++ Strong written and oral communication skills and able to present results clearly. Open to fixed-term contract More Information Location: Kent Ridge Campus Organization
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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-quality journal publications. Assist in supervising research students in the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python
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++ and Python; - Availability for meetings and collaborative work; - Good understanding of concepts in robotics, control, and sensing. - Proven prior experience in robotics; - Proven knowledge of ROS1 and
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infrastructure.; • Practical knowledge or familiarity with programming languages such as Python and/or C/C++.; • Practical knowledge or familiarity with electronic circuit design, simulations, and PCB layout
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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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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team