Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- SciLifeLab
- Nature Careers
- Linköping University
- Linnaeus University
- Lulea University of Technology
- Mälardalen University
- Jönköping University
- Blekinge Institute of Technology
- Karlstad University
- Örebro University
- University of Borås
- Karolinska Institutet (KI)
- Lunds universitet
- ;
- KTH
- Sveriges lantbruksuniversitet
- Uppsala universitet
- KTH Royal Institute of Technology
- NORDITA-Nordic Institute for Theoretical Physics
- University of Gothenburg
- Uppsala University
- 15 more »
- « less
-
Field
-
biotechnology, life sciences, molecular biology and biomedicine. In addition, it includes supervising research and contributing to development projects. Establishing a research program in translational
-
to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
-
analysis using AI. Solid knowledge of signal processing and machine learning. Proficiency in programming (e.g., MATLAB, Python, C/C++). Strong written and verbal communication skills in English. The
-
and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
-
stakeholders at all SciLifeLab sites in Sweden, e.g. representing the technology platforms, the national data centre, the operations office, the training hub, the data-driven life science (DDLS) research program
-
communication, rural development, landscape architecture and agrarian history. Comprising approximately 180 employees, the department is responsible for around 80 courses and seven academic programs
-
based primarily on the relevance and quality of the submitted research plan and secondarily on other scientific merits. Importance will be placed on experience of engagement with non-academic stakeholders
-
multidisciplinary theme. The program prepares next-generation computational biologists with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major
-
and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical
-
prepared to assume leadership responsibility for research and teaching in the subject area. One important part of the work duties is participating in teaching on the Medical Programme. The holder