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24 May 2024 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Mathematics » Applied mathematics 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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Reference Number 234/35/049 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your function The Center for Statistics (CenStat, research group within DSI) is looking
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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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will exhibit very low signal-to-noise ratio and extremely weak contrast, which makes this research very challenging. You will use statistics-based methods to measure unknown structure parameters
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statistical software packages such as STATA, SPSS, SAS or R, or willing to acquire such knowledge. You pay attention to details and act with attention to quality and integrity. You have a sense of independence
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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