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, inspiring students in the classroom, or helping to shape everything that makes our education and research possible. PhD Candidate in MIP-Based Sensor Engineering for Antimicrobial Resistance Detection Our
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occurred, exposing the limitations of current detection timelines. This reactive posture is worsened by a visibility gap in the DNS ecosystem. A lack of transparency in registration data, coupled with
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Vacancies PhD position on Real-Time Detection of DNS Abuse, from Reactive to Proactive Key takeaways Malicious actors increasingly abuse the Domain Name System (DNS) by registering new domains
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. Desirable Familiarity with supply chain management, operations, or organizational contexts. Experience with advanced statistical methods (e.g. multilevel modelling, causal inference, Bayesian methods
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work closely with the other PhD candidate of PAST, who creates high-resolution proxy-based reconstructions of the same paleoclimate. Together, you apply a Bayesian statistical framework to contrast and
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aligned with the project’s objectives. Conduct a mapping and qualitative case studies of social innovations in academic systems (e.g. in the areas of funding, ethics governance, academic activism) in
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the genetic association between different trait definitions for feed intake, efficiency and methane. Evaluating the consequences of selection on different traits for different breeding scenarios and objectives
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supervisor. Please send them to doctoraloffice@ese.eur.nl after submitting your application form. Because the work is in the defense and security domain, a Certificate of No Objection (VGB) from the AIVD and
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varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
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estimation using multi-track Sentinel-1 (C-band) and NISAR (L-band) data. Implement and extend dynamic InSAR processing workflows for near-real-time analysis, including quality control and anomaly detection