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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
change. To measure biodiversity, you will use cutting-edge DNA-based methods, such as e-DNA metabarcoding of fungi, from soil and dead wood, and detecting arthropods and mammals from vegetation surfaces
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bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1: Fiber-based soft
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation
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Standard Model of particle physics. Previous experience with numerical simulations of the early Universe and/or of the electroweak and QCD phase transitions will be considered a significant asset. The
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration
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the nanoscale The Laboratory for Mesoscopic Systems based at the Paul Scherrer Institute (PSI) is a joint laboratory between the ETH Zurich and the Paul Scherrer Institute, which is the largest research centre
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology
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Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation of antimicrobial coatings. This project aims to tackle the growing challenge
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-focused , contributing primarily to one of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce