Sort by
Refine Your Search
-
Listed
-
Employer
- University of Lund
- Umeå University
- Blekinge Institute of Technology
- KTH
- SciLifeLab
- Chalmers University of Technology
- Linköping University
- Lulea University of Technology
- Mälardalen University
- Nature Careers
- Swedish University of Agricultural Sciences
- Karlstad University
- Lund University
- Örebro University
- 4 more »
- « less
-
Field
-
characteristic classes by global currents obtained from generalized Monge-Ampère type products. The project has connections to both commutative algebra and complex geometry. About the department of Mathematical
-
, and identifying gaps to predictive mathematical models for iron translocation mechanisms. Collecting and analyzing large-scale datasets using computational tools to find patterns and interactions in
-
studies, gene expression studies and analysis of nitrogen metabolism. Mathematical modeling will be applied to identify factors that control nitrogen utilization efficiency and the effect of nitrogen
-
, Culture and Communication (UKK) our students mainly study programmes relating to teacher education, but we also offer programmes and courses in languages and communication, mathematics/applied mathematics
-
Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can...
-
, mathematics, physical geography, and physics. The Faculty of Science is located in the northern part of the University campus. We have around 1,500 students, 360 doctoral students and 700 staff. Our departments
-
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
-
Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and Communication Engineering. Additional requirements: Very good oral and
-
publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics
-
MSc in Engineering in Biomedical Engineering, Computer Science, Electrical Engineering, Engineering Mathematics, Nanoengineering, Engineering Physics or Information and Communication Engineering