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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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, C++, MATLAB, and other relevant languages. Familiarity with medical imaging data formats (DICOM, NIfTI) and related software tools. Familiarity with any Monte Carlo simulation package (EGS, MCNPX
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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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, fall rehabilitation, app development, and biomechanics. Data Post-processing Programming using MATLAB, Python, and Java/Kotlin (for Android) Publish journal articles. Presentation of research at national
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and
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of seismology Programming skills (AI/ML programming frameworks, e.g. PyTorch or TensorFlow, Python, MATLAB, SQL) Fluency in English (written/oral) Willingness to work in an interdisciplinary and international
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equivalent), in Electrical Engineering, Energy Engineering, or a closely related Proven expertise in microgrid modeling and controls in Matlab/Simulink or similar Demonstrated publication record Proven