About Data Extraction
A major challenge of current (big) data systems lies in the provision of high-quality information suited for downstream analysis purposes, given that the data at hand are often irrelevant, redundant, noisy, inconsistent, incomplete or unstructured.
Imec research groups at UGent and KU Leuven are devising innovative cleansing, completion and feature extraction approaches to extract reliable information from raw data.
How can we help you?
Some examples of what we have done
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Senior Electronic System Engineer - OnePlanet Research Center
Pragmatic engineer with the drive to grow into a Technical Lead position.
Postdoc System Technology Co Optimization for imec Technology solutions
Be a frontrunner in enabling System and Application driven technology optimization for future semiconductor roadmap;
Postdoctoral Researcher Efficient hardware spike detection and data compression for next-generation
Integrate massive multi-channel feature extraction algorithms on chip that enable clinical translation of next-generation neural probes.
Patent Information Officer
Using your wide technical interest and knowledge (of electronic design and systems, wireless communication or semiconductor components) to find out if an imec invention is patentable.
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