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be achieved using artificial intelligence (AI), machine learning and statistical methods. The DC will collaborate closely with other sites and fellows within the ETN to achieve the following objectives
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Previous experience in the participation of health research or innovation projects. Programming (Matlab, Python), advanced statistic knowledges, biomedical images processing Specific Requirements Advanced
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language. Knowledge of statistics and relevant packages. Excellent team worker. Capacity for independent and creative thinking. Keen research interests in linking language and psychiatry. Interest in inter
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statistical analyses with SPSS, STATA, R or MPLUS Capacity to present oral communications or posters at international scientific events. Capacity to work independently and as a member of a national and
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chemical, geology, microbiology and economics. Knowledge of Gis and statistical analysis. Experience in groundwater and surface water contamination studies. To have worked in the Muga basin on water-related
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learning and Bayesian methods for the statistical analysis and quantification of images obtained through super resolution microscopy, live-cell imaging and cryo-ET. Importantly, during the first year of