Sort by
Refine Your Search
-
degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern
-
of prototype implementations. The team you will be working with Mike Papadakis. The position holder will be required to perform the following tasks/will do research on the following topics: Forming learning
-
for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company Mission Space and SnT, University
-
mission is to delve deeper into the molecular mechanisms underlying this phenomenon and to translate our findings into actionable strategies aimed at restoring a potent anti-tumor immune response. To learn
-
sensors, accelerometers), and computer science (machine learning tools, optimization). The aim of this Ph.D. project is to improve our understanding of structural behavior, degradation mechanisms, and
-
Spherical selective Retroreflectors (CSRs), allowing them to be invisible to humans while easy to detect by machine vision. This is a strongly multidisciplinary project, carried out in collaboration with Prof
-
should have some knowledge and experience in a number of the following topics: Software Testing Model/Specification inference Machine learning Web applications Java advanced (Spring and Hibernate
-
an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis
-
, such as the University of Liège and Aachen University, is anticipated. Your Profile The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning
-
. mathematics, remote sensing, machine learning, engineering, computer science Experience and skills Some knowledge of programming and processing of remote sensing data would be an advantage. Language skills Good