Sort by
Refine Your Search
-
expect a successful candidate to have a PhD degree from a relevant field with skills and experience in computational genomics and machine learning. Familiarity with the above-mentioned data types is an
-
candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
-
and associate the findings to clinical data using machine learning. The postdoctoral fellow will perform studies on the metabolism of healthy intestinal cells and tumour initiating cells using state
-
of hydrogen-induced embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get
-
engineering Potential doctoral supervisors (PhD advisors) are Prof. Jaakko Järvi , Prof. Ville Leppänen and Ass. Prof. Tuomas Mäkilä . You can learn more about our Software Engineering research group here