Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- SciLifeLab
- Umeå University
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Lulea University of Technology
- Lunds universitet
- Swedish University of Agricultural Sciences
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- Institutionen för biologi och miljövetenskap
- Karolinska Institutet (KI)
- Luleå University of Technology
- Umeå universitet stipendiemodul
- University of Gothenburg
- University of Gothenburg/Department of Biological and Environmental Science
- Uppsala universitet
- 8 more »
- « less
-
Field
-
Gordon Bell prize in 2023), and VeloxChem (a versatile open-source quantum chemistry software). As a postdoctoral researcher, your primary focus will be to pioneer innovative, technology-aware algorithmic
-
of this type of experiment for battery science, as well as for many other research domains. This project will also include the development of iterative reconstruction and noise suppression algorithms towards
-
could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
-
. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities
-
. Specifically, the doctoral student will determine how microbial resilience and resistance to drought can arise, along with its ecological, physiological, and/or evolutionary underpinnings. This work will combine
-
theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
-
solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. For more information about the
-
develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
-
possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
-
, algorithms, and tools for human-centered intelligent realities, to lead the way for future immersive, user-aware, and smart interactive digital environments. The project is divided into five separate Research