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                Field
 
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similar study (please state your average grade and most relevant courses); have programming experience in Python; have English communication, presentation, and writing skills; have an interest in health
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. Python, Matlab, and/or R.\ Has interest (and ideally, research and coding experience) in functional MRI methods. Has a strong interest in visual neuroscience and affinity with healthcare applications. Has
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quantitative modeling; Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python; Excellent verbal and written communication skills
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laser physics and/or plasma and fluid mechanics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and
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, or the willingness to learn. Programming skills (e.g., Python, Matlab, or similar) are considered an advantage. Our offer Driven by health; that's our mission. This applies not only to our patients but also to our
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resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical software (preferably R. MATLAB, Python) Strong interest in cardiovascular physiology
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
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experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred starting date is
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Engine. Demonstrable experimental and analytical skills, including designing and conducting studies, programming (e.g., Python, C#), and statistical analysis. Proficiency in both qualitative and
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specifically in your application, as they can be of value in the selection process: Knowledge of Python / R programming and/or other evidence of data science skills. Evidence of prior research work, exemplified