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Field
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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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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
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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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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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(for example in Python or C++); communicate clearly in English; and enjoy working in a collaborative research environment. It is a plus, not a requirement, if you are already familiar with cosmological or N‑body
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of core web technologies. You have solid experience in Python and JavaScript programming languages. You preferably have experience with building and using machine learning models. You care deeply about
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, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong programming skills (Python/C++); Proven interest in generative models
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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are