Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- SciLifeLab
- Linköping University
- Nature Careers
- Umeå University
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- KTH
- Karolinska Institutet (KI)
- Mälardalen University
- Swedish University of Agricultural Sciences
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Linköpings universitet
- Linnaeus University
- Luleå University of Technology
- Luleå tekniska universitet
- Lund University
- Stockholms universitet
- Uppsala universitet
- 18 more »
- « less
-
Field
-
ways to transform towards them. Finally, we will synthesize our learning across cases to enhance causal multispecies understanding of biodiversity. The postdoctor will work with the Swedish team but is
-
. The position shall include the opportunity for three weeks of training in higher education teaching and learning. The project has two parts: i) development of a universal cryo-Cage for structural determination
-
. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop independence as a researcher and to create the opportunity
-
for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
-
written proficiency in English Proven ability to lead and co-author scientific publications We are particularly interested in candidates, who are willing to learn new methods and perform interdisciplinary
-
and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project The postdoc will work at Chalmers University of Technology in a
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research