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A leading German research organization is seeking a researcher for the 'Clinical Dementia Research' group to enhance dementia diagnostics using explainable AI. The role involves developing new methods and requires a Master's degree in data science or related fields, experience in Python and machine learning, and proficiency in German and English. The ideal candidate will possess strong organizational and teamwork skills, and a goal-oriented work style. Great opportunity for collaboration across disciplines.
Scientific / postdoctoral posts
The research group “Clinical Dementia Research” (Prof. Dr. Stefan Teipel) works on the methodological development and validation of innovative methods to improve dementia diagnostics, the monitoring of disease progression, and the determination of intervention effects. In previous projects, such as “EXPLAINATION”, we developed explainable artificial intelligence (XAI)-based assistance tools to support the diagnosis of dementia. In the upcoming project “BehAIve: Behaviour Monitoring and Support of Older Adults”, funded by the Ministry of Science, Culture, Federal and European Affairs of the State Mecklenburg-Western Pomerania, we will further extend our explainable AI toolbox to integrate multimodal motion and environment sensor data. More specifically, we will focus on computational modelling approaches to ensure the comprehensibility and explainability of a smart living control system that provides situation-adaptive support to geriatric patients and people with mild cognitive impairment in performing everyday activities.
For more information and questions about this position, please contact Dr. Martin Dyrba at martin.dyrba@dzne.de, tel. +49-381-494-9482.
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This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.