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Max Planck Institute for Demographic Research (MPIDR) / University of Manchester | Germany | 3 months ago
spend the first 21 months at the Social Statistics Department, University of Manchester. They will be working in a vibrant community of PhD students in Social Statistics, Social Data Analytics and
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: Statistics Select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this is a mandatory
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
Job Offer PhD Studentship | Social Statistics with focus on Digital and Computational Demography About the Project We are pleased to invite applications to a 3.5-year University of Manchester
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
the MPIDR. The successful applicant will spend the first 21 months at the Social Statistics Department , University of Manchester. They will be working in a vibrant community of PhD students in Social
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31 Jan 2025 Job Information Organisation/Company ESSEC Business School Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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different cells, and helped identify potential drug targets in precision medicine. This fully funded PhD project applies principled statistical modelling to help identify causes of disease and potential drug
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If you would like to solve real-life problems using statistics and operational research to have positive impact on business, the economy or society, then consider applying to the STOR-i Centre
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independently under supervision and as part of a multi-disciplinary team Enthusiastic to grow and develop as a researcher Qualifications Research Associate Awarded PhD in Statistics or a closely related
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Qualifications* Requires PhD degree in Statistics + 2 years of experience supporting pain research: using statistical methods, including latent profile/class analysis, multivariate analysis, longitudinal models
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or examples to provide insights into the decision making process of complicated models. This family of explanations has both rich statistical and psychological grounding and the project will look to investigate