24 arts-and-literature Postdoctoral positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
use state-of-the-art technologies such as CRISPR, adaptive laboratory evolution, integrative omics data analysis and computational models of metabolism to engineer yeast as microbial biocatalyst. Beyond
-
, are instrumental to transition away from fossil-resource dependent processes. In our research group, we use state-of-the-art technologies such as CRISPR, adaptive laboratory evolution, integrative omics data
-
of the Microtechnology and Nanoscience department (MC2 ), we pursue state-of-the art research in quantum information science, microwave quantum optics, and mechanical quantum devices. We are also part of the Wallenberg
-
be able to communicate scientific results, both orally and in written form, in English. The research will contribute to the literature on explorative scenario analysis. The main focus for the project
-
This position will expose you to the state of the art in machine learning for distributed radio localization and sensing for various applications, and allow you to collaborate with world-leading
-
--1-12748 Is the Job related to staff position within a Research Infrastructure? No Offer Description This position will expose you to the state of the art in machine learning for distributed radio
-
about the division and the department In the Department of Microtechnology and Nanoscience , MC2, state-of-the art research in various fields such as micro-electronics, photonics, microwave techniques and
-
the Job related to staff position within a Research Infrastructure? No Offer Description State-of-the-art flat optics components based on multifunctional metasurfaces are looking to replace traditional
-
several years. Our research is both experimental and numerical and we have extensive international collaboration. We also have access to a state-of-the-art clean room for fabrication of optical structures
-
will contribute to the literature on explorative scenario analysis. The main focus for the project is to advance methods for downscaling the global shared socioeconomic pathways (used by the IPCC