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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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
Postdoctoral Researcher Efficient hardware spike detection and data compression for next-generation
Integrate massive multi-channel feature extraction algorithms on chip that enable clinical translation of next-generation neural probes.
Patent Information Officer
Using your wide technical interest and knowledge (of electronic design and systems, wireless communication or semiconductor components) to find out if an imec invention is patentable.
Exploring large scale brain dynamics using graph theoretical and statistical approaches
Interested in data science? why not apply your skills in understanding large scale brain dynamics of navigation and perception