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PhDs) are employed at CML. CML further collaborates with TU Delft and Erasmus University in the Leiden-Delft-Erasmus Centre for Sustainability (LDE-CfS), and with the Naturalis Biodiversity Centre
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During the publication period, applications will be handled continuously. If the vacancy is filled, it will be closed prematurely. The first round of interviews is scheduled to take place in November. We kindly ask you to take this into account in your planning. The second round of interviews is...
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(max 800 words) explaining how the candidate will design the PhD research and how this would be relevant for the aims of the project. A Curriculum Vitae along with your most relevant publications related
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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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words) explaining how the candidate will design the PhD research and how this would be relevant for the aims of the project. A Curriculum Vitae along with your most relevant publication related
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: A motivation letter along with a short research proposal (max 800 words) explaining how the candidate will design the PhD research and how this would be relevant for the aims of the project. A
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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is often limited by incomplete documentation of workflows in publications. This PhD project will develop a Generative AI-assisted platform to rebuild such workflows and make them FAIR, reusable, and
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find