Sort by
Refine Your Search
-
adaptable networks. Recently we have developed different types of inherently flame retardant dynamic networks for fire safe fiber reinforced composites and self healing coatings. The proposed position will
-
extraction, alignment, QC metrics, drift/batch correction) and reporting. Advance annotation strategies using modern approaches such as spectral/structure fingerprinting, molecular networking, in-silico
-
biology. The project aims to uncover how mechanical properties, forces, and physical phenotypes integrate with molecular networks to regulate the function of complex cellular systems across multiple
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
of the research initiative. In addition, you will have opportunities to develop e large collaborative projects with forest network partners, including members of the ForestPlots network. You hold a PhD in forest
-
disappearing firn on mountain glaciers. The project also features a broad network of partners in Europe and Central Asia. The aim of this position is to implement improved parameterizations of albedo and
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
2026, as a PostDoc in social-ecological systems 70-100% (f/m/d) Within a European network of research regions, you will investigate the social, economic, and ecological impacts of ground-mounted
-
conferences. The postdoc will benefit from ETH Zurich’s strong interdisciplinary and global network, including: The Albert Einstein School of Public Policy, The ETH’s Energy Science Center and ETH's World Food
-
advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
-
electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
-
conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical