25 parallel-computing-numerical-methods PhD scholarships at Umeå University in Sweden
Sort by
Refine Your Search
-
proficient in the project related areas, and in particular regarding: Machine Learning, Numerical Methods, Probability Theory, and Bayesian Methods and MCMC Algorithms. Proficient programming skills is a
-
several high-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on gender, power, and media - AI methods for multilingual bias editing. The Department
-
department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods to transform graphs
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics together with TAIGA – Centre for Transdisciplinary AI is recruiting a PhD student
-
methods to model and communicate climate-related risks. The PhD student will work under joint supervision from Computing Science and Informatics, being embedded in the AI Policy Lab at the Department
-
educational programs in Computing Science, we are now seeking a PhD student with a focus on agent-based modelling. The Department of Computing Science has been growing rapidly in recent years, with a focus on
-
research in the areas of condensed matter physics, nanotechnology, photonics, and theoretical and computational physics. We announce a PhD position for a project focusing on simulation and artificial
-
educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå University is offering a PhD student position in Computer Science with a focus on visual language
-
with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall purpose of the project is to develop novel methods