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.
Hoe kunnen we u helpen?
Some examples of what we have done
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Software Engineer, C++/Python (2y contract)
Developing software in Python and C++ for data science applications in Linux
Memory device researcher for AI
Create the memory devices to enable the next generations of AI hardware.
Senior Data Scientist
Data Wizard who dreams to create applicable solutions for protecting our globe!
Introduction of EDS analysis into TEM automation.
Bringing chemical analysis into the CMOS industry for high throughput and precision by automated electron microscopy.Meer jobs bekijken