Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- Chalmers University of Technology
- Umeå University
- SciLifeLab
- Uppsala universitet
- Linköping University
- Chalmers tekniska högskola
- Linköpings universitet
- Lunds universitet
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Luleå University of Technology
- Umeå universitet
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Linköpings University
- Malmö universitet
- Nature Careers
- Örebro University
- 8 more »
- « less
-
Field
-
mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
-
of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
-
to support short- and long-term decision-making, developing new integrated designs and operation of complex industrial sites. The project is in collaboration with DTU Construct and research stays are planned
-
between these duties varies over time. During the employments three initial years, the employee is offered 30% of full time for competence development, which may be used for own research and other
-
to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will be
-
, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
-
into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
-
these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
-
in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
-
for! We are searching for a Systems developer in service development and operations for Linux at the AIDA Data Hub, belonging to the Department of Science and Technology, based at the Center for Medical