Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- KTH Royal Institute of Technology
- University of Lund
- Blekinge Institute of Technology
- The Faculty of Technology and Society
- Uppsala universitet
- Linköping University
- Lunds universitet
- Jönköping University
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Umeå universitet stipendiemodul
- University of Skövde
- Uppsala University
- Örebro University
- Göteborgs universitet
- Helmholtz-Zentrum München
- Karlstad University
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linköping University (LiU)
- Linnaeus University
- The Swedish University of Agricultural Sciences
- The University of Skövde
- Umeå universitet
- 18 more »
- « less
-
Field
-
data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
-
required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
-
measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
-
. Required qualifications: PhD in a field such as physics, systems biology, applied mathematics, machine learning, or related fields. Strong programming skills (e.g. Python) and experience with modern ML
-
or production systems AI, machine learning, data analytics or synthetic data digital twins, digital threads or model-based systems engineering automation, control, sensing, communication systems or industrial
-
, 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
-
in English (reading, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one
-
domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
-
risk assessments, omics analyses and advanced statistical analyses and machine-learning techniques. Work duties and responsibilities The main task for a doctoral student is to devote yourself to your
-
that within two years you can teach and conduct research in Swedish. The workplace The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one