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techniques. Key Responsibilities The successful candidate will: Conduct quantitative studies on user behaviour, including: Statistical analysis of datasets provided by MediaFutures’ industry partners and other
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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access. The goals of such access include supporting registry operations as well as health care research. Of particular interest in this context are differentially private algorithms for statistical model
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of statistics, visualisations, or individual highlights be automatically generated based on user preferences, and incorporated seamlessly into the user experience? We expect significant contributions
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“Female Heart”. The researcher position has a temporary financing for two (2) years from 01.11.25. About the project/work tasks: Advanced image analysis of ultrasound images Statistical analysis
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experiences while also limiting production costs? How can additional layers of statistics, visualisations, or individual highlights be automatically generated based on user preferences, and incorporated
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the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise
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, pharmacoepidemiology, public health, statistics or a related field. The position offers excellent opportunities for scientific development within an international research environment. About the project/work tasks The
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motivated candidate with a background in neuropsychology, medicine, neuroscience, molecular biology, biostatistics, pharmacology, pharmacoepidemiology, public health, statistics or a related field. The
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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