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Field
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software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology, hemodynamic monitoring, and imaging (ECG, CT, echocardiography). Affinity with critical care and working with vulnerable
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data analysis (e.g., in Python, MATLAB, or similar) or in analyzing scattering data is desirable. Proficiency in English (German is a plus). Enthusiasm to engage in multidisciplinary and international
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written communication skills in English are required. Other advantageous qualities include experience with coding (Python\Matlab) and numerical methods, as well as familiarity with concepts in complex
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of neuroimaging data, such as Quantitative susceptibility mapping (QSM), Magnetic Resonance Spectroscopy (MRS), or (resting state) network analysis. Data analysis and programming skills (Python, Matlab, R) and a
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in the field of hybrid dynamical systems, observer design, learning techniques, and optimization. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a
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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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programming skills in one or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably
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language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
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/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and