Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Nature Careers
- Uppsala universitet
- Stockholms universitet
- University of Lund
- KTH Royal Institute of Technology
- Luleå University of Technology
- Malmö universitet
- Mälardalen University
- Umeå universitet
- 6 more »
- « less
-
Field
-
metals), which calls for further research on cleaning methods. The research group at Uppsala has received funding from the Circular Bio-based Europe Joint Undertaking (CBE JU) to coordinate the WoodTreat
-
will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
-
cement. The project aims to tackle the sustainability of concrete and building materials and resource efficiency by developing a new method to produce ZERO-emission concrete using only recycled materials
-
importance to develop innovative approaches to adapt Sweden’s extensive and essential forest systems to the rapidly changing climate. Using cutting-edge multidisciplinary methods in evidence synthesis, policy
-
these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and
-
desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
-
ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
-
ocean, and an urgent need to inform regulatory bodies about associated environmental risks. The work builds upon methods developed in our previous inter- and transdisciplinary work on shipwreck risk
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised position is novel machine learning method development. However, you will be part of a larger