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
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
Program Manager Patient Monitoring
This is your opportunity to work on the future of health within a large international team.
PhD Student position in the field of quantitative magnetic resonance imaging
The project involves two specific MRI imaging acquisition methods (diffusion MRI and relaxometry MRI) and targets the development of combined relaxometry/diffusion estimation methods.
Researcher for big data energy aware scheduling for sustainable manufacturing for industry 4.0
The "WAVES" research group is the expertise center of the Department of Information Technology of Ghent University/IMEC in Belgium for scheduling and recommending research.
PhD student position in computational imaging: Dynamic Xray Computed Tomography
The Vision Lab, an fun and exciting research group at the University of Antwerp, has an open position for a PhD student to work on developing innovative image reconstruction methods for X-ray Computed Tomography (CT).More job opportunities