26 assistant-professor-computer-"https:" "https:" "https:" "https:" "Kyoto university" scholarships at Linköping University in Sweden
Sort by
Refine Your Search
-
employees. This includes four faculty members, Assistant Professors, Postdocs, and PhD students, with PhD students making up half of the staff. We also have several adjunct researchers. CVL conducts research
-
-assisted AI and control systems is to deliver the right and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you
-
application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
-
Engineering, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral
-
Professor Theresia Arbring Sjöström (https://liu.se/en/employee/thear78 ), and Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ). LOE is part of Linköping University’s Department of Science and
-
precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
-
application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
-
- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Professor Peter Olsén). The GreenPolChem is located in the Pronova Chemistry Lab, at the Laboratory of Organic Electronics (LOE). More information about research can be found here: Home page: Green Polymer
-
graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses