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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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of metabolic and cellular properties Phylogenomic analyses of obtained MAGs, including extraction and evaluation of marker genes, performing ML and Bayesian analyses of (concatenated) marker gene sets using
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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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on early detection of deviations from baselines, so that corrective actions can be taken before issues escalate. Digital transformation is at the heart of what we do. We lead the implementation
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, ensuring projects are completed in accordance with quality targets, on time and within budget. Your main objectives will be as follows: Ensure that a strong project management knowledge is established from a
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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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representatives, and colleagues at UNIC partner universities. In this role, you take a proactive and strategic approach to ensuring that UNIC achieves its mobility objectives at Erasmus University Rotterdam. You
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programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference