Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- Lunds universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Karolinska Institutet (KI)
- Linköping University
- University of Lund
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Mälardalen University
- The Swedish University of Agricultural Sciences
- Karlstad University
- Lulea University of Technology
- Luleå University of Technology
- Umeå universitet
- Uppsala universitet
- Institutionen för biologi och miljövetenskap
- Karlstads universitet
- Linköping University (LiU)
- Sveriges Lantbruksuniversitet
- The Royal Institute of Technology (KTH)
- University of Borås
- University of Skövde
- Uppsala University
- universitypositions
- Örebro University
- 19 more »
- « less
-
Field
-
measures and models (differential and integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated
-
buffers is translated into management guidelines and policy frameworks for climate adaptation. This is a time-bound knowledge synthesis project that integrates scientific and applied evidence on climate
-
cooperation 2021-2027 in the northernmost part of Europe and Sápmi. InAFQual addresses the challenges to develop affordable, innovative solutions for food quality monitoring by integrating spectral based
-
Sentinel-2) and integrate them with ancillary data including airborne lidar, tree-species maps, and gridded climate fields. Produce spatially explicit climate risk layers, including drought-stress maps by
-
application! Work assignments The project focuses on electro-enzyme coupled catalysis and reactor system optimization for sustainable energy and chemical conversion. The research will explore the integration
-
for cross-border cooperation 2021-2027 in the northernmost part of Europe and Sápmi. InAFQual addresses the challenges to develop affordable, innovative solutions for food quality monitoring by integrating
-
whole-genome duplication across diverse plant systems (see https://www.yantlab.net/ ). The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations
-
we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL
-
give constructive feedback, and work collaboratively and respectfully with people who may have different disciplinary, cultural, or personal backgrounds A strong commitment to scientific integrity
-
, psychology, and forestry. The candidate will support the integration of behavioral science principles and natural resource management knowledge into relevant research designs; developing research questions