91 postdoc-in-distributed-systems-and-controls-"Multiple" positions at University of Lund
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Lund University, Faculty of Engineering, LTH, Department of Computer Science Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has
-
Description of the workplace The position is at the Department of Computer Science within a growing research group in foundations of computer science at Lund University. We expect to have 8 PhD
-
. Particularly important is to complement and elaborate definitions of environmental problems deriving from natural and engineering sciences by emphasizing aspects such as culture, power, and global distribution
-
developed in discussion with the recruited candidate and the team, the main question of the project is the extent to which alterations to chromatin distribution and methylation arise, and how they contribute
-
in mandatory laboratory maintenance (including internal/external field exercises) and quality control of the research group's radiometry system that is part of the national radiation protection
-
for assistant professors with an international background at the turn of the year 2025/2026. Lund University is now making a joint announcement that also aims to find candidates that the university can nominate
-
position is located at the Department of Electrical and Information Technology, within the Division of Electromagnetism and Nanoelectronics. The division has 15 senior researchers and about 20 doctoral
-
delivering high-quality teaching at all educational levels. The holder of the position is expected to actively contribute to the positive development of our research environment, particularly in criminology
-
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and
-
at the intersection of numerical analysis and scientific machine learning, focusing on the development of reliable, physics-aware AI frameworks. The aim is to build a mathematically grounded approach for approximating