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breast cancer patients, explore the activation mechanism of antiviral defense pathways in cell cultures and perform bioinformatics analysis of data. The work will be performed in a modern molecular biology
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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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Have fluent oral and written communication skills in English Additional qualifications (considered strengths): Experience with neuroimaging and/or epidemiological data analysis (training will be provided
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suitable for candidates with strong interests in finance, economics, business model innovation, supply chain management, and quantitative or data-driven analysis, and who wish to contribute to improving
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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