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
At imec bright people build a bright future.
You could be one of these builders. Whether you are an engineer or an operator, a consultant or PhD student, we need a versatile group of people to help us create positive change.Join the forward thinkers
Business lead/CEO for fake financial news detection venture (imec/VUB)
Driving the business strategy and product roadmap of our disruptive fake news detection start-up based on data mining and AI.
A technical expert in S(T)EM inspections and up-to date on the current limitations and possibilities of the tools with a focus on semi-conductor materials? Join us!
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.Meer jobs bekijken