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Vacancies Postdoc position in Numerical Analysis Key takeaways We are looking for an enthusiastic and highly motivated postdoc candidate to join as soon as possible the Mathematics of Computational
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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sciences, such as cellular EM, volume EM, or cryo-EM. A solid understanding and proven expertise in Python and the use of computational techniques, preferably neural networks, for data analysis and
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sensitive to researchers’ needs and constraints? You will be part of a project that addresses these questions by combining policy analysis, behavioral research, and stakeholder co-creation. You will map
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preregistered high-powered fMRI replication study functional connectivity analyses to identify the broader neural network involved a preregistered meta-analysis of the existing neuroimaging literature By
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experience in developing non-target screening workflows and suspect analysis for complex mixtures; Proficiency in building and interpreting molecular networks using MS data; Strong knowledge of advanced
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key challenges such as tilt series alignment and 3D template matching, as well as broader contributions to cryo-ET data analysis, including particle detection and the quantitative interpretation
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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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data analysis, and to establish and manage a service infrastructure within the BioMS group, enabling fee-for-service access for external collaborators. You will independently design, plan and perform
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(developmental) psychology, cognitive neuroscience, psychometrics or related field (either awarded or about to submit). Excellent quantitative skills (e.g., multivariate analysis, structural equation modelling