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14 May 2024 Job Information Organisation/Company University of Liège - HEC Liège Department HEC Liege Research Field Economics » Econometrics Economics » Financial science Mathematics » Statistics
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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including top-level researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. ● excellent research facilities, conference/travel budget, and
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researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. See https://ppw . kuleuven.be/okp for more information and for relevant publications
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You have a master's degree, preferably in (quantitative) psychology, or another master’s degree that implies a profound knowledge of statistics, data analysis and programming. You have a good knowledge
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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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Keywords: Ultrasound and Vibration, Structural Dynamics, Composite Structures, 3D Printed Structures, Damage, Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics
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doctoral thesis after 4 years Desirable but not required Experience with yeast molecular biology (PCR, transformation, large-scale assays) Knowledge of statistics packages and/or data analysis using R Key
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in MRI imaging is also appreciated. * Good statistical skills are requested and pre-exposure (or better) to scripting Matlab, R and/or Python is appreciated. * Mastery of English is a requirement
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the field of Earth Sciences, and have an introductory knowledge of principles of physical volcanology. A minimum of statistical knowledge and programming skills will be highly regarded. The successful