Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Umeå University
- Lunds universitet
- Linköping University
- Stockholms universitet
- SciLifeLab
- Chalmers University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Karolinska Institutet, doctoral positions
- University of Borås
- University of Lund
- Karlstad University
- Nature Careers
- Institutionen för molekylära vetenskaper
- Linköpings universitet
- Mittuniversitetet
- 8 more »
- « less
-
Field
-
are looking for a colleague who will advance our genomic research on horticultural crops. The overall objective of this position is to develop research concepts and tools within the Swedish horticultural
-
in forest management, but much is unknown about the genomics of non-model plant species like many forest trees. The McEvoy Lab draws from a variety of new approaches to develop a better understanding
-
of non-model plant species like many forest trees. The McEvoy Lab draws from a variety of new approaches to develop a better understanding of how genomic diversity is distributed in forest tree species
-
will be part of Physical Chemistry research group at the Department of Chemistry – Ångström and will work in a project focusing on the development of a new time-resolved operando Soft X-ray spectroscopic
-
application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
-
independently and must be prepared to contribute to your department’s work and development in various ways. Upon agreement, you may have to participate in departmental duties involving teaching and administration
-
. This project aims to address these challenges through the development of adaptive learning frameworks for non-stationary environments. In particular, we focus on continual learning, where models are updated as
-
, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
transport in solid‑state polymer electrolytes for Li‑ion batteries. The research will focus on developing new and computationally efficient strategies for multiscale modelling, enabling systematic studies