60 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" positions at Linköping University
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application! Work assignments AIR2 is a five-year multidisciplinary national project financed by the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity
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mathematical maturity, possess excellent programming skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you should be able to work independently, be goal
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for tomorrow´s Swedish forest value chain. More information about WWSC can be found here: Home - WWSC The employment When taking up the post, you will be admitted to the program for doctoral studies. More
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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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
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have acquired essentially equivalent knowledge in another way. You must demonstrate strong mathematical maturity and also possess good programming skills. Furthermore it is important that you have good
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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/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
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to plan, organize and document experiments independently Strong written and spoken English communication skills In addition, the following education, experience and expertise will strengthen an application
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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