17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions at Linköping University
Sort by
Refine Your Search
-
world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up
-
around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When
-
/rt . For more information about ISY, 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
-
world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about ISY, go to: https://liu.se/en/article/open-positions-at-isy . The employment When taking up
-
collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy/rt . For more information about working at ISY, please visit
-
application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
-
, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to
-
for the division is the Visualization Center C, a unique science center in Norrköping that engages the public through data-driven installations and 3D fulldome experiences. Read more at http
-
uncertainties. Determining how to account for these uncertainties leads to research questions spanning from data collection and estimation to model representations and optimization algorithms. In the field
-
around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine