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(preferably in Python); Interested in contributing to educational activities; Excellent proficiency in English (oral and written). Research at our faculty The Faculty of Science is a world-class faculty where
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results. Proficient programming skills are required (ideally Python, Julia, Java or C++). Fluency in English (both oral and written) is required. The starting date is negotiable, but we aim to fill the
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, and data collection. Proficiency in using programming tools (e.g., Python, C#) and statistics to support your work. An open-minded personality with a curiosity-driven mindset, positive attitude towards
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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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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and
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; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent
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; Experienced with writing scientific manuscripts and excellent academic writing skills; Excellent programming skills (preferably in Python); Interested in contributing to educational activities; Excellent
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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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. Python, PyTorch, TensorFlow). Enthusiasm for hands-on experimental work (e.g., mechatronics). Familiarity with polymers or other soft materials. Drive to tackle interdisciplinary challenges and communicate
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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch