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Intelligence, Machine Learning, and Natural Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow
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(e.g., Python, Matlab, Fortran or C/C++) Experience in numerical solutions of differential equations and knowledge of statistics and probability are desirable Strong interest in translational
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computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital
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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Experience from relevant research projects will be considered as positive
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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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tools used in AI or interactive system development (e.g., Python, Max/MSP, Unity, Unreal, etc) is an advantage. Applicants should possess understanding of user-centred or participatory design methods and
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apply provided they complete their final master exam before 01.07.2026. It is a condition of employment that the master's degree has been awarded. Excellent programming skills (Python, Matlab or Julia
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participate in the research environment at GAMUT. Fluency in programming and digital tools used in AI or interactive system development (e.g., Python, Max/MSP, Unity, Unreal, etc) is an advantage. Applicants
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. It is a condition of employment that the master's degree has been awarded. Excellent programming skills (Python, Matlab or Julia) are a requirement. A solid background in mathematical modelling