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NIST only participates in the February and August reviews. Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support
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, including experiments at the local tandem accelerator facility as well as at national and international research infrastructures (https://ikp.uni-koeln.de/groups/wimmer/join-us ). YOUR TASKS » Participation
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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comprehensively analyzes “disease models” to contribute basic to clinical science in the field of medicine and health science, and to provide models for evaluating the adaptation of the invention to humans in
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experience conducting survey research online, and have experience working with natural language processing and application programming interfaces, as well as prompt engineering, large language model training
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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properties with three-body tight-binding model for the periodic table" https://journals.aps.org/prmaterials/abstract/10.1103/PhysRevMaterials.7.044603 2) "Magnon-phonon hybridization in 2D antiferromagnet
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, Elementary Particle Theory , Physics Beyond Standard Model , Physics beyond the Standard Model , Quantum Field Theory , Scattering Amplitudes , Standard Model phenomenology Appl Deadline: 2026/02/01 11:59PM
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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster
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the appointment beginning in August 2026. The future development of DAS-NTU focuses on integrating observation, modeling, theory, and AI to holistically advance the understanding of severe/extreme weather, earth