Sort by
Refine Your Search
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- SciLifeLab
- Karolinska Institutet (KI)
- Lunds universitet
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Mälardalen University
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Uppsala universitet
- Karlstad University
- Linköping University
- Luleå University of Technology
- Umeå universitet stipendiemodul
- Uppsala University
- Blekinge Institute of Technology
- Institutionen för biologi och miljövetenskap
- Jönköping University
- Linköping University (LiU)
- Sveriges Lantbruksuniversitet
- Umeå universitet
- University of Borås
- University of Skövde
- universitypositions
- 17 more »
- « less
-
Field
-
. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
-
their doctoral degree earlier may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
-
the opportunity for three weeks of training in higher education teaching and learning. The job also includes opportunities for teaching on basic and advanced level. participation in supervision of master and PhD
-
, multi-omics analyses and systematic bioinformatics techniques is a strong advantage. Excellent programming skills (Python/R) and a solid training in AI or machine learning are highly preferred. A strong
-
collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
-
candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
-
, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and