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A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
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. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in English
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studies and relevant coursework Fluency in programming and digital tools used in AI or interactive system development (e.g., Python, Max/MSP, Csound, PD, etc) is an advantage Applicants should be familiar
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programming and digital tool development (e.g., Python, Max/MSP, Csound, PD, etc.) is an advantage. Applicants should be familiar with ethical, cultural, or societal perspectives on AI and artistic and creative
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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of, and experience with, causal inference and/or survival analysis is an advantage, but not necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets
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. Knowledge of Python and analysis of sequencing data is a plus. Fluent oral and written communication skills in English. We are looking for a highly motivated candidate who is interested in identifying and
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, Bioengineering, or a related field Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis
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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link