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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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. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical, communicative, creative and team-oriented
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(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 climate questions. Ability
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You have a strong affinity for both experimental science and advanced data analysis using Matlab and/or Python. You have a deep understanding of muscle exercise physiology/or human physiology, from
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deployment; Knowledge of at least one programming language (such as C, Sage, Matlab, Python); If possible, some experience with cryptography - good knowledge of algebra (including field and ring theories, and
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an advantage. Knowledge on programming skills (Matlab, C) are considered an advantage. You are willing to learn MRI and X-ray CT imaging methods. Do you like to collaborate with industrial partners? Are you
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Matlab or Python. Experience with neuroscience techniques (e.g. EEG) is a plus. You possess proven problem-solving skills and an ability to take a strong, positive and proactive approach to work. You have
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, Computer Science, Mathematics, Physics, or related field; Strong interest in cardiovascular physiology and computational modeling; Programming experience (preferably MATLAB, Python, or similar); Enthusiasm
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or MATLAB. Excellent communication skills; proficiency in Dutch is desirable but not required. The capacity to thrive in a complex and dynamic research environment. If you immediately recognise yourself in