25 big-data Postdoctoral positions at Aalborg University in Ireland-University-Ranking-2024
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Are you interested in working with sensitive health data and making a real impact on how it can be used safely and responsibly? At the Center for Clinical Data Science (CLINDA), Department
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genetic engineering of the selected microorganism to increase its yield and robustness, followed by large-scale cultivation in a 100 L bioreactor. The post doc position is embedded in a larger
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availability, for instance due to load balancing requirements. Model parameters will be continuously updated using measured and estimated data from the physical pilot plant, providing a foundation for
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/physical AI agents coordinate and act at scale, paving the way toward embodied intelligence in large-scale intelligent systems. The successful candidate will bring strong foundations in embodied AI, robotic
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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innovative ways to utilize the many data sources already available in PREDICT, including registry data, genomics, microbiomics, metabolomics and epigenetics. The postdoc fellow will join a multidisciplinary
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results