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Field
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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, interdisciplinary environment. You enjoy working with people from different disciplines and are able to contribute effectively to collaborations with, for example, crop physiologists and plant scientists. A PhD in a
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4 Jul 2026 Job Information Organisation/Company University College Dublin Research Field Mathematics » Statistics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Application
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). The initial position will be for one year, with the possibility of renewal based on job performance and availability of support. Applicants must possess a PhD in Mathematics, Computer Science, Physics
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. Your work tasks This Postdoc sits at the intersection of mathematics, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Join a world-class interdisciplinary team using AI, spatial omics and digital pathology
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Work with leading researchers in statistics and bioinformatics to develop innovative