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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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of innovative statistical models for the analysis of large and highly-dimensional biomedical/biological datasets. In this role, you will design novel statistical frameworks, help in the conception of experimental
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, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible mindset for
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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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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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activity measures, self-reports, questionnaires and peripheral psychophysiological responses (e.g., breathing patterns). Apart from the acquisition and statistical analysis of the data, the PhD student will
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of experience in III-V semiconductor lasers processing or integration. You are experienced in DOE and statistical analysis. Experience with silicon photonics is a plus. You are an enthusiastic team player, yet