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analysis of mass spectrometry-based proteomics Study the association of protein abundance with symptoms during pregnancy Investigate whether patterns in proteomic data can inform on later health of mother
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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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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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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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, 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