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centered devices considering, for example, the EOBD protocol, is an advantage Background in statistical computing and data analysis. Experience with R or Python is an advantage Solid development skills

Technology, Experimental and Conceptual Modelling in Ecohydrology, optimality principles) and Christophe Ley (University of Ghent, Bayesian Statistics, Applied Probability). You will be working as part of

Internet of Things (IoT): LTEM and NBIoT • Satellite communications and be familiar with the principles of • Machine learning/Deep learning • Optimization theory • Linear algebra • Statistical signal

, optimality principles) and Christophe Ley (University of Ghent, Bayesian Statistics, Applied Probability). Framework: You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE

, prototype development or technical reports. This can potentially be done through a PhD research work. Profile Education Master in Computer Sciences Competencies Background in statistical computing, data

Satellite communications and be familiar with the principles of Machine learning/Deep learning Optimization theory Linear algebra Statistical signal processing Programming skills: MATLAB, Python or C

of machine/deep learning in wireless communications and IoT networks and be familiar with the principles of Optimization theory Machine/deep learning Statistical signal processing Programming skills: familiar

researcher will be under the supervision of Prof. Gautam Tripathi. Profile PhD degree in Economics/Statistics with a focus on econometrics. Very good English language skills. Willingness to work in an inter

DRIVEN related discipline, i.e. Computer science, mathematics, statistics or computational engineering with a strong interest in social sciences Strong background in quantitative methods and statistical

. Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis. Language Skills: Fluent written and verbal communication skills in English are required. We Offer: The University