Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in
-
: Experience working with viruses (BSL-2), including performing virus infection experiments Experience with RNA/DNA extraction, cDNA synthesis, PCR/qPCR and similar techniques Experience with primer design
-
artificial intelligence and control systems. In this project, you will design new algorithms for semantic communication between the cloud and autonomous systems—technology that can transform how robots, drones
-
of habitat diversity in agricultural environments as a proxy for potential biodiversity. You will plan and conduct field measurements and perform data analysis in a large interdisciplinary project group
-
to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy . You will become a key member
-
that values scientific curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/organisation/liu/isy/rt . The employment When taking up the post, you will be
-
design and development of organic and bio-based materials with tailored functionalities for energy transport, conversion, and storage, with a strong emphasis on sustainability and environmentally benign
-
, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en/organisation/liu/isy/ks . For more information about working at ISY, please visit: https://liu.se/en
-
distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
-
equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https