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potential possibility for extension. Job description You will be part of a large interdisciplinary consortium project studying the effect of pesticides and environmental toxicants on the development
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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: Compiling and analyzing large erosion data sets (thermochronology, cosmogenic nuclides, suspended sediment, etc.); Statistical modelling of data to analyze drivers and make local and/or global predictions
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) for complementary information on the catalyst surface chemistry. The ultra-high-vacuum based model catalyst preparation allows us to highlight certain aspects of the catalyst samples (e.g. nanoparticle shape, size
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theory on expanding spacetimes, including Milne and accelerated power law spacetimes; nonlinear scattering and asymptotics near Big Bang singularities. Education and Experience Applicants must have
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efforts in AI or other related topics. Applicants must have experience in the handling and organization of large data sets. Familiarity with analysis of panel or longitudinal data and working with
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scattering measurements in the PI’s laboratory (group website ) at CWRU and at large national facilities. The candidate will join an extensive network of research collaborators at institutions across the US
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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28 Mar 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Application Deadline 27 Mar
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12 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Botany Researcher Profile Recognised Researcher (R2) Application Deadline 11