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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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, you can program (in Matlab, Python or a similar environment), but if not, you will learn. You take initiative and are eager to learn. You can work independently, but you also enjoy interacting within a
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and automation of simulation workflows and data post-processing (e.g., Python, MATLAB, or equivalent). The following additional merits may also be considered: knowledge in Paraview, GNU/Linux, and
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, demonstrating research excellence • Experience in electronics/PCB design, testing, or manufacturing processes • Experience with programming and/or AI/ML tools (e.g. Python, MATLAB, scikit-learn, TensorFlow
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discipline. Desirable Experience in machine learning, deep learning, data analysis, numerical modelling, or scientific programming (such as Python, MATLAB, or R) is desirable. Knowledge of hydrodynamic
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cognitive processes and underlying brain mechanisms. Applicants must have experience working with a high-level programming language such as MATLAB, Python, and/or R. Good written and oral proficiency in
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. This staged approach will allow the student to determine both the capabilities and the limitations of the technique rather than assuming in advance that a particular implementation will succeed. MATLAB, Python
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with scripting and programming, eg in R, Python or Matlab and the willingness to learn a new programming language (C); creativity in communication and visualisation of model results in maps and figures
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fundamental research in cognitive and affective neurosciences and in computational psychiatry. You have experience with applying functional MRI (acquisition and analyses), including the use of Matlab, Python
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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis