28 coding "https:" "https:" "https:" "UCL" "UCL" "UCL" scholarships at Linköping University
Sort by
Refine Your Search
-
and the national DDLS program. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm https://www.scilifelab.se/data-driven/ https://www.scilifelab.se/units/cryo-em/ https
-
and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
-
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
-
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
-
, 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
-
learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a
-
vacation (28 workdays per year, corresponding to 5 ½ weeks). Paid maternity/paternity leave (up to 390 days per child). Other benefits are also available. A full list can be found here: https
-
government-funded strategic research area in IT and Mobile Communications. Read more: https://elliit.se/ We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co
-
/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
-
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