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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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structural imaging (tractography, voxel-based morphometry, etc.) Experience working in the area of motor control and cognition Comfortable analyzing data in Matlab, Python, or similar languages Ability to work
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: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility Research track record: Publications
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control (broadly construed). Expert knowledge of a scientific programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work
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-based models for biological and medical image analysis. Processing, interpreting, and presenting experimental data (using tools such as SPSS, and Python Pandas). Contributing to scientific publications
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, Arduino, Raspbelly Pi, Quectel modules. MATLAB, spectrum analyzers, ESP32 platform, network analyzers: wireshark. Programming in: Java, C, Python. Other requirements to consider: Ability to learn
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., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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-of-the-art techniques. Image/data processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications