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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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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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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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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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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
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. With the growing urgency of sustainable design and operation of digital infrastructures, this PhD project will design and develop resource management schemes that enhance the sustainability and
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performed by human experts. The aim of this PhD project is to design innovative monitoring algorithms for complex dynamical systems to automate fault isolation with diagnostics performance guarantees. Current
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regenerative outcomes. Your tasks as a PhD candidate are to: design a research plan in line with the aims and key topics of the ReGeNL program; carry out desk and field research; engage and learn with a variety
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. These aspects are important in disorders such as Parkinson’s disease and various psychiatric disorders. It is a full-time position, which will lead to a PhD thesis. Knowledge of neuroscience and experience with