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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
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space systems; Investigating and implementing PQC algorithms to safeguard space data systems against quantum computing threats; Evaluating the performance and security of PQC solutions in the context
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investigating astrocyte biology at multiple scales, from molecules to whole-brain function. As such, you will collaborate with an enthusiastic team of PhD students and postdocs from the lab of Mark Verheijen, as
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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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uptake. Within TU Delft, we collaborate with industrial partners and multiple research groups in the Pro2Tech institute. The position will form a bridge between research groups in the Chemical Engineering
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routes need to be developed & demonstrated at pilot scale for industrial uptake. Within TU Delft, we collaborate with industrial partners and multiple research groups in the Pro2Tech institute
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believe that health monitoring and personalized medicine approaches can be achieved with clinical studies involving multiple patient samples, often in combination with stem cell derived in-vitro or organ