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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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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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38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD
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team, including another PhD student who focusses on the genomics of adaptation and a postdoc who will analyse the evolved strains using mass spectrometry, in collaboration with bioinformatician Dr
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? We are seaking a PhD researcher to work in process optimisation towards making the Dutch steel sector CO₂-neutral by 2050 Job description Despite its environmental impact, steel is crucial to modern
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and macroscale structural dynamics. As a PhD candidate, you will focus on the identification and modeling of friction damping and energy dissipation in assembled structures. Your work will combine
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the material consumption and environmental impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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water quality in cities is vital for a healthy city: in this PhD you will develop monitoring and modelling strategies to help design resilient water cities of the future. Job description Cities depend