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of Sciences, is actively involved in cutting-edge research within the NUCLEUS, COSINUS, and CRESST experiments. These experiments focus on rare-event searches, including coherent elastic neutrino-nucleus
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continuous monitoring data. Development of machine learning models to identify physiologic instability or changes in patient status. Validation of waveform-derived metrics against clinical reference standards
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at the interface of nonlinear mechanics, statistical mechanics, and disordered materials. Central themes may include mechanical instabilities, localization, fracture and damage, collective response in heterogeneous
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condensates are dynamic, membraneless organelles formed through phase separation. Their material properties—fluidity, elasticity, and internal architecture—can shift dramatically in response to subtle
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to extrusion and compounding Develop insights into interfacial stability, flow instabilities, and morphology control in multiphase and multilayer systems. Support and optimize advanced polymer processing
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infrastructures (transport, health, and education services) Macroeconomic stability and instability in the presence of land as a fixed, non-produced asset Taxation of land wealth as an alternative
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theory, number theory, additive combinatorics Nathan Linial Combinatorics and theoretical computer science Cy Maor Mathematics of materials science, elasticity, calculus of variations Eran Nevo
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(overcome by making various sites on the ground available) and turbulence in the atmosphere. Atmospheric turbulence introduces optical link instability, which if not compensated, negate the advantages
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&RUN, CUT&Tag) and/or replication timing or R-loop mapping assays Background in chromatin biology, cancer biology, DNA replication, genome instability, or translational control Experience with next
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cancer dependencies, and characterizing vulnerabilities associated with aneuploidy, genomic instability, and drug-resistant tumor states. The postdoctoral researcher will have the opportunity to shape a