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
Experimental researcher for nanopore devices
Enabling massively parallel read-out of solid state nanopores using membrane integrated nano-sized transistors
Student project: Develop a sensor based method to determine physical and mental load.
Student project: Sensorizing a prosthetic blade
Memory Designer / System Architect for advanced Memory
Developing and targeting advanced technologies solutions for Advanced Memories toward node 3nm, 2nm and beyond.Meer jobs bekijken