17 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Vrije Universiteit Amsterdam
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understand their motivations, and build bespoke analysis pipelines of social media and financial data to understand the downstream consequences of the buying and selling of these services. The PhD will be
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forensic research. The NIGeL facility (https://nigel.amsterdam/) is unique in the Netherlands with 2 TIMS, 2 MC-ICP-MS, 1 ICP-MS and 1 ICP-OES instruments and two laser systems for in situ analyses. A
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localities and will use that data in geochemical and geophysical numerical modelling. The team will work on three main tasks: Improve the accuracy of plume source composition Quantify changes with tectonic
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PhDs start. Project A: making computational antitrust accurate (one PhD position) This legal-track PhD will work on the legal framework for data access by competition agencies. The core question is
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project is to move stress research from the lab into daily life, and hence, the use cases of the methodological innovations will focus on applications to stress-related data, such as wearables, ecological
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beyond the study duration: extreme value theory for long term survival and cure chances”. This project will develop statistical methods and theory for analysing time-to-event data when a fraction of the
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data-driven algorithms. You will work on the subproject “Triangulation of performance assessment methods for conditional causal quantities”. This PhD project investigates how to reliably assess the
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behavioural and psychophysical studies. Your main tasks will include designing and programming experiments, collecting behavioural and eye-tracking data, conducting psychophysical and statistical analyses, and
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cell migration. A central goal of the project is to develop and apply data-driven theoretical frameworks that infer interaction rules directly from multicellular migration experiments. We therefore
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to assess the impacts of adaptation measures to reduce climate risk. This will be done by collecting large-scale datasets and using these data sets in a new modelling framework (GEB) which integrates