12 Statistics "The University of Edinburgh" positions in Belgium

Doctoral scholarship holder applied mathematics: statistics

Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust

PhD Student Causal Machine Learning

24 May 2024 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics

Postdoctoral fellow in the analysis of Spatial Omics data

, Computational Biology, Statistics, Computer Science, Artificial Intelligence, Physics, Engineering, Bio-engineering, or equivalent. Proven track record of successful research and high-ranked publications in

Junior Bioinformatician in Cancer Research

on joint initiatives. Your Profile Bachelor or Master's degree in Bioinformatics, Computational Biology, Statistics, or Computer Science High competency in R and/or Python Solid grasp of statistics Excellent

Senior Built Environment Policy Expert and Project Manager

interpret model results or statistical analysis in research projects is desired. Examples of projects The Smart Cities Marketplace  is an initiative from the European Commission led by VITO, and aims

R&D Engineer Exploratory Patterning Materials

and goals. You will develop solutions to problems utilizing formal education, statistical knowledge, and in-house tools. You will guide MS/Ph.D. students. You will travel domestically and/or

PhD position quantitative in situ electron microscopy of metal halide perovskite materials

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

Doctoral scholarship holder active labour market policy

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

PhD position in Molecular and Computational Neurogenomics

data integration basic/intermediate programming skills in R and/or Python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic

Doctoral scholarship holder active labour market policy

issues and social questions. You have a solid background in quantitative research methods and data analysis. You have a good knowledge of statistical software packages such as STATA, SPSS, SAS or R