Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lulea University of Technology
- Umeå University
- Nature Careers
- Blekinge Institute of Technology
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Lunds universitet
- Uppsala universitet
- Karolinska Institutet (KI)
- Mälardalen University
- NORDITA-Nordic Institute for Theoretical Physics
- Sveriges lantbruksuniversitet
- Umeå universitet
- University of Gothenburg
- 8 more »
- « less
-
Field
-
knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/Cloud architectures, and the Swedish
-
projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
-
-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
-
University, Halmstad University, and Blekinge University of Technology. ELLIIT in Lund is spanning four departments: Electrical and Information Technology, Computer Science, Automatic Control and two research
-
publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics
-
qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN
-
mathematical foundations in theoretical computer science. Good verbal and written communication skills in English. Swedish is not required for this position. Chalmers offers free language courses for those
-
the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
-
] Subject Areas: Theoretical Physics / Statistical physics Complex Systems Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
-
build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space