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Science, Physics, Applied Mathematics, Electrical Engineering, Data Science, or a related discipline. Demonstrated practical experience in scientific programming (e.g., Python, MATLAB, C++), algorithm development
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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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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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 hours ago
experimental practices—demonstrated through coursework, academic projects, or introductory participation in R&D activities (40%); Criterion 3: Basic programming skills in Python or C++, as well as initial
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preceding the application date; Interest in causal inference, machine learning, and/or field experimentation will be highly valued; Basic skills in programming and data analysis (e.g., Python, R, SQL, PyTorch
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Security Minimum requirements: Python knowledge; Experience of developing software for data streams. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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, as well as experience in programming with Python, R, SQL, and knowledge of web technologies (HTML, CSS, JavaScript). A good command of the English language is also valued. Knowledge of tools used in
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in the CV. Additional optional skills and qualifications: Preference will be given to candidates with previous experience in data analysis, as well as experience in programming with Python, R, SQL, and
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areas: EEG, multimodal MRI, or imaging genetics, documented through peer-reviewed publications excellent programming skills (e.g. Python, MATLAB, R) experience working with distributed computing resources