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interpretation through deep learning model development using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing
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contributing to or evaluating PPIE activities. Experience in/understanding of eye-tracking and/or EEG data acquisition and analysis (e.g. Brain Vision Analyzer, Matlab/EEGLAB/FieldTrip) Prior training and
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the following documents: Application letter (free format); Copies of academic diplomas: Bachelor’s, Master’s; Relevant diplomas, awards, certificates; Curriculum Vitae (EUROPASS format, signed and dated); List
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, with guidance from supervisor. May orient and train new staff or students. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with MATLAB, Python, R, or similar. Experience
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given preference. The ideal candidate will possess strong computational skills and have experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in
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simulation, specifically designed for DC networks, considering widely used software in academia and system operators, such as Matlab, PSCAD, PSSE, and DIgSILENT PowerFactory - Contribute to the writing
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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Data Analysis, Computational and/or Artificial Intelligence; Usage of Machine
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab