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Field
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background and research experience in: generating and maintaining mammalian cell lines; experience in image analysis using Python or MATLAB; experience utilizing high-resolution optical imaging; experience
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must be completed by the time of appointment. The ideal candidate will demonstrate outstanding analytical and quantitative modelling skills, with strong programming proficiency. Experience with MATLAB
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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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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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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
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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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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on experience with optics, fiber optics, sensors, miniaturized systems design and development. • Programming skills in C++ and MATLAB; additional relevant programming skills are an advantage. • Strong teamwork