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network Research Fields: Hormones, Digital Health, Medical Sensors, Physiology Secondments: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical
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training courses and workshops of the ENDOTRAIN network Research Fields: Hormones, Digital Health, Medical Sensors, Physiology Secondments: University of Ulm (Germany): Algorithms for wearable data analysis
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: Endocrinology, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine, Personalised medicine, Data Analysis, Human Health, Hypertension, Metabolism Secondments: Ludwig-Maximilians-Universität
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international conferences. Research Fields: Endocrinology, Digital Health, Medical Sensors, Systems Physiology, Internal Medicine, Personalised medicine, Data Analysis, Human Health, Hypertension, Metabolism
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for a period of one year and is associated with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA
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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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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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internships in either industrial, academic or research institutes. Digital signal processing, denoising, time series analysis. Microfabrication Analogue electronics design and build. For further details, please
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patients. University Hospital Zurich (Switzerland): 1 month — Advanced analysis of patient-reported outcomes and integration with multimodal AI approaches. Qualifications and personal qualities: Required
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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