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2025, or as agreed, in a fixed-term contract until 31.8.2029. Background The positions are opened in the HIP CMS experiment group, which contributes to the analysis of data from the CERN CMS experiment
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applications. Addressing food and nutritional security requires novel ways of producing sustainable, safe, affordable, healthy and flavourful food. Europe alone faces numerous challenges related to the rise in
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no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In this project we will develop novel models for estimating the correctness of genome and
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facilities with access to the state-of-the art technologies. Qualifications We invite applications from candidates with a solid theoretical and wet-lab background and a PhD degree in cell/molecular biology
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-Gordon model, the scaling limit of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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focused on comparative cloud policy analysis. Key responsibilities include: Developing a dataset of policies influencing cloud infrastructure in selected jurisdictions. Conducting interviews with
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the benchmarking of continuum modeling code together with GTK. Take part in dissemination, outreach, and teaching activities. Profile of the candidate PhD in relevant field (Physics, Chemistry, Geology, Fluid
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microbiome from clinical patient samples Computational analysis and integration of functional microbial genomics datasets from next-generation sequencing methods. Supervision and teaching of students and