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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Copy writer - tijdelijke functie
Als copy writer kun je ons baanbrekend onderzoek vertalen in kwalitatieve en commerciële teksten gericht op verschillende doelgroepen en kanalen. Dit is een tijdelijke opdracht ter vervanging van een vaste collega tem eind 2018.
Workplace Manager - Project lead campus transformation
Key in this mission is an innovative and sustainable workplace.
PhD researcher – Speech & Audio Processing
Within the context of several national and international projects on speech and audio processing conducted at IDLab (http://www.ugent.be/ea/idlab/), we are looking for several junior researchers.