Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- Linköping University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Lunds universitet
- Blekinge Institute of Technology
- Jönköping University
- Luleå University of Technology
- Mälardalen University
- Nature Careers
- Uppsala University
- Uppsala universitet
- 4 more »
- « less
-
Field
-
PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
-
project: Computational methods for complex SV detection using sequencing data Main supervisor: Kristoffer Sahlin, ksahlin@math.su.se . Co-supervisor: Adam Ameur, adam.ameur@igp.uu.se . In the Department
-
promising strategy for achieving net-zero CO2 emissions involves substituting fossil-carbon with green hydrogen. Sweden is leading several initiatives to implement this transition. However, challenges persist
-
and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School
-
and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
-
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
-
calculations with kinetic modeling, our team bridges length and time scales, addressing complex challenges in energy research. About the research project Energy-efficient catalytic synthesis of hydrogen carriers
-
@cytiva.com . Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex
-
the material. New CVD processes are mainly developed by trial-and-error. Models and computational simulations are used to improve our understanding of the complex CVD process, but there are many challenges in
-
northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering