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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Formal
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. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 23 days ago
skills, including optical alignment, system integration, and quantitative performance testing Experience with instrument control, data acquisition systems, or scientific programming (e.g., Python, MATLAB
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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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
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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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, scientific curiosity, and commitment to scientific excellence. • Advanced hands-on experience in optics, sensors, lasers, optical fibers. • Programming skills in MATLAB / Python • Team player skills and
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Neurosciences, Life sciences or related fields Experience in behavioural and molecular techniques Programming experience (Matlab and/or Python) interest in interspecies / interdisciplinary studies Please send
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language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical