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Field
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postdoctoral candidate has an MD and/or PhD in neuroscience or related field and extensive experience with rodent neuroscience. Excellent analytical skills, e.g., Python & Matlab, are strongly preferred, as is
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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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candidate has proven expertise in X-ray imaging, synchrotron experiments, and multimodal X-ray imaging, e.g. XRD or XRF computed tomography. Experience in scripting in Python or MATLAB is an advantage
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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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data with Matlab/Python. Presents scientific work both inside and outside the university with excellent oral communication skills. Assists with grant preparation and reporting. Publishes research
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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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, 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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effects, cryogenic behavior, XRD, Raman spectroscopies. Modeling of material and detector physics as it relates to observed phenomena, using COMSOL, MATLAB, or other software. Participate in experimental
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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
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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