Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- Karlstad University
- Lulea University of Technology
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- Umeå universitet
- University of Lund
- Institutionen för akvatiska resurser
- Karlstads universitet
- Luleå University of Technology
- Mälardalen University
- SLU
- Umeå universitet stipendiemodul
- Uppsala universitet
- 7 more »
- « less
-
Field
-
, and external collaborators to advance research objectives and generate high-impact results. In addition to research, some participation in supervision of doctoral students, master's and project students
-
. You will collaborate closely with the principal investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In
-
load-bearing capacity of existing infrastructure, taking into account climate change and non-stationary environmental conditions. The objective is to link reliability-based research to practically
-
behavioural observations, welfare assessments, cognitive testing (e.g., novel object recognition, problem-solving, attention bias), and stress-physiology sampling in longitudinal studies following piglets from
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
, Ni-Cu, Ni-Co). The obtained lignin oil would be upgraded to fuel grade aromatics through hydrodeoxygenation (HDO) with the same catalyst used in the RCF process. The main objective of this research is
-
. Tasks Your main responsibilities will include: Conduct behavioural observations, welfare assessments, cognitive testing (e.g., novel object recognition, problem-solving, attention bias), and stress
-
collaboration with the division of Geoscience and Remote Sensing at Chalmers. The project is funded by the European Research Council (ERC) under the MIXCLOUDS project, with the following objectives: -Advance our
-
molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include