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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at https
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. Familiarity with Linux/Unix is an advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-036/Default.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
with a new meta-model built from complementary process-based models of forest dynamics and functioning, recently published (Postic et al. 2025). More specifically, the model is built on the coupling
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(https://www.precisiononcology.ie ) and is funded jointly by Research Ireland and the National Breast Cancer Research Institute (NBCRI). The post is available from April 2026 to March 2029. The Dwyer Lab
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formal methods. The successful candidate will contribute to advancing data-driven modeling techniques that enable formal safety guarantees for complex dynamical systems such as autonomous vehicles
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28 Mar 2026 Job Information Organisation/Company Politecnico di Milano Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 15 days ago
Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Institute of Fluid Dynamics conducts both fundamental and applied research in the fields
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teaching qualifications, to be submitted by the reference writers via https://www.mathjobs.org/jobs , addressed to: Chair, Dynamical Systems Search Committee, Department of Mathematics and Statistics
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent