Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- Lunds universitet
- SciLifeLab
- Linköping University
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Luleå tekniska universitet
- Mälardalen University
- University of Lund
- Karolinska Institutet (KI)
- Lulea University of Technology
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Borås
- Uppsala universitet
- Göteborgs universitet
- Institutionen för biologi och miljövetenskap
- Karlstad University
- Karlstads universitet
- Sveriges Lantbruksuniversitet
- The Faculty of Technology and Society
- The Swedish University of Agricultural Sciences
- University of Skövde
- universitypositions
- Örebro University
- 18 more »
- « less
-
Field
-
and interest in the position, including a description of how your experiences fit for working in the ongoing research project. A research plan (no more than three pages, references excluded
-
. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
-
· Designing and performing experiments · Data analysis and manuscript preparation · Presentation of results internally and externally · Collaboration with other scientists
-
, yet many buffers are poorly designed to maintain key ecological functions, particularly under a changing climate. The project addresses three interlinked questions: 1) how climate-driven extremes affect
-
estimators such as Design-based Supervised Learning and Prediction-Powered Inference, and applying mechanistic interpretability techniques, for example sparse feature circuits and the SHIFT method, so that
-
regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
-
design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on quality monitoring of food and/or agriculture products is highly desirable. Experience in electronic
-
program, including complementary intelligence, open-endedness, and the intersection of AI with for example video games, design, creativity, and philosophy. Who we are looking for The following requirements
-
), statistical analysis of LHC data or beyond-the-Standard-Model phenomenology, is meriting. Experience with large-scale training on GPU and HPC systems, with design of experiments and active learning, with open
-
/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability