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inference with a focus on developing and applying statistical, machine learning methods, and AI to analyse population-scale health data and omics data. The position has a start date as of 1 January 2027
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. Job description You will be contributing to the organization of project datasets, digitalization and integration of data, and curation of research data and associated metadata. You will support
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Natural Language Processing in Business Applications Data Visualization and Dashboards Programming for Business Automation and Robotic Process Automation (RPA) Business Economics Behavioral Economics
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computational support for the processing, analysis, management, and interpretation of genomic data, thereby supporting scientific staff in their research activities and collaborative projects: Supporting the
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Applications are invited from early-career postdoctoral researchers who can demonstrate an established track record in big data analytics within the field of substance use. The two-year full time
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metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating
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, distinguishing local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the
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(metabolomics, proteomics, chemical biology) to identify and characterize metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization
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digital twins by integrating robotic sensor data, to support real-time visualization, monitoring, and autonomous decision-making. Publishing research results in leading international journals and
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DETECTIVE DETECTIVE (Data driven Excellence in Training of Epidemiological, Clinical, Technological and Innovative Virus Experts) is an EU-funded MSCA training programme aimed at developing new, data-driven