Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- SciLifeLab
- Linköping University
- KTH Royal Institute of Technology
- Umeå University
- Uppsala universitet
- Nature Careers
- Blekinge Institute of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- Karolinska Institutet (KI)
- University of Borås
- KTH
- Linköpings universitet
- Lulea University of Technology
- Stockholms universitet
- Örebro University
- Faculty of Technology and Society
- Göteborgs Universitet
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för molekylära vetenskaper
- Linnéuniversitetet
- Lule university of technology
- Luleå University of Technology
- Luleå university of technology
- Lund University
- Malmö university
- Mid Sweden University
- Mälardalen University
- SciCross
- SciLifeLab / Uppsala University
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- The Institute of Clinical Sciences
- Umea University
- 30 more »
- « less
-
Field
-
the progression of ARDS in intensive care patients with sepsis. To enable this, we will develop information-theoretic machine learning methods to determine which protein interactions are driving disease progression
-
are looking for a candidate with a background in machine learning or data science and strong software engineering skills. The Ph.D. position is a part of the strategic research area in IT and mobile
-
AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
-
for physical AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in
-
statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with biochemistry, medicinal
-
Do you want to be part of introducing "new space" and setting an imprint on future satellites? If you have interests in physics, technology, climate and machine learning, this is the doctoral
-
engineering or embedded systems Experience in machine learning for neural data What you will do Take courses at an advanced level within the Graduate school of Electrical Engineering ( Graduate schools
-
Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
-
integrates computational analysis of immune receptor sequencing data, machine learning approaches for TCR prediction, and translational collaboration with clinical and laboratory teams. The successful
-
of quantum mechanics and statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with