The life of about 200 million Europeans is significantly impacted by disabling foot or ankle pain. Fortunately, foot orthotics can provide support, correction, and pain management. The traditional patient measurement and subsequent orthotics production process is, however, very labor-intensive with an end-result influenced by subjective human factors. A digital orthotics workflow has many advantages in effectiveness and efficiency. By employing statistical foot models, this project aims to improve scanning robustness, will strive to automate foot analysis and subsequent orthotic modeling, and will provide a supporting central management platform, effectively making a digital workflow technically and economically feasible.  [More]

Originally posted on 2015-07-06

Within the Research Department of Medical Information Technologies, research group VisieLab from the University of Antwerp (UA) is looking for a [More]

Originally posted on 2015-02-02

You will develop the computational foundations of a novel mass-spectrometry and NMR-spectroscopy based drug discovery and metabolome analysis platform. [More]

Originally posted on 2014-12-19