66 parallel-computing-numerical-methods "Multiple" positions at Umeå University in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
algorithms and methods for calibrated Bayesian federated learning for trustworthy collaborative Bayesian learning on data from multiple participants. The project will develop new methods, theory, and
-
education to enable regions to expand quickly and sustainably. In fact, the future is made here. Department of Computing Science The Department of Computing Science at Umeå University is an international
-
to develop novel machine learning methods to improve malware detection. The doctoral student position is offered within a research project financed by the Wallenberg AI, Autonomous Systems and Software Program
-
, Python, Fortran, or comparable computational environments is highly desirable. Excellent written and oral communication skills in English are required. Knowledge of Swedish is not necessary. Merits
-
educational programs in Computing Science, we are now seeking a PhD student with focus on Software Lifecycle Security. The Department of Computing Science has been growing rapidly in recent years, with a focus
-
and provide user training on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data
-
the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
-
experience or knowledge in one or more of the following areas are also a merit: Space physics Plasma physics Computational physics Applied mathematics and modelling Numerical methods for partial differential
-
further developing code-based workflows for data collection, processing, and database updates, including work with external data sources and APIs. Developing methods and program code that ensure
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as