Sort by
Refine Your Search
-
/Qualifications PhD in Computer Science or related field (with preferred specialization in Machine Learning/Deep Learning); Documented experience in Machine learning and Deep neural network model design and
-
patterns using a combination of data modelling, optimization, and machine learning techniques. Within the team, your main responsibilities will be: Developing tools for the high-throughput detection
-
the quality of reconstructed physics objects towards a 4D global event reconstruction. The work will include the usage of Machine Learning techniques to boost the performance gain and will focus on one
-
computing, HPC infrastructures, and machine learning. Hicrest Laboratory combines expertise in parallel algorithms and high-performance computing with reliable computing systems by combining a hardware
-
marker-less motion capture • Knowledge of machine learning methods • Good communication skills • Strong problem solving attitude • High motivation to learn • Spirit of innovation and
-
data (maximum 20 points); Approaches for the statistical modelling of microbiomes, including meta-analytical and machine-learning methods (maximum 20 points); Computational methods for functional