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Quantum mechanics is the fundamental theory that rules the way nature works at the microscopic scale. However, a fully quantum description is often a fierce challenge, both for analytical developments and numerical calculations, especially for objects containing hundreds or thousands of...
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior of the resulting metamaterials (elastic moduli, yield strength, toughness). 2. Use these tools to...
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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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Description of the offer : Join our team for a postdoctoral position focused on advancing Spin-Orbit Torque (SOT) based Magnetic Tunnel Junctions (MTJ) for embedded non-volatile memory applications. SOT-MTJs offer compelling advantages similar to SRAM, including ultra-fast dynamics (sub-ns),...
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analyzing whole organism models (zebrafish and mouse) to dissect the pathophysiology of a recently identified rare pediatric neurometabolic disorder. The approach involves mainly deep longitudinal phenotyping
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available to work on computational models of artificial evolution for aptamer design, expected to start between November 2025 and February 2026. Aptamers are often obtained through rounds of in vitro
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signal conditioning inside a Li-ion battery cell. In the new field of the Reference Electrode (RE) insertion inside the Li-ion cells, the PostDoc will focus on the pre-conditioning electronics necessary
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or PostDoc) will deal with the generation of spin and orbital electronic currents for spin–orbit torques in solid-state devices made of light metals, metallic ferromagnets and/or magnetic insulators. In
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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health and translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim