Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Uppsala universitet
- Linköping University
- Stockholms universitet
- Umeå University
- Chalmers University of Technology
- Linköpings universitet
- Lunds universitet
- Mälardalen University
- Umeå universitet
- SciLifeLab
- University of Lund
- Jönköping University
- KTH Royal Institute of Technology
- Linnaeus University
- Luleå University of Technology
- Mälardalens universitet
- School of Business, Society and Engineering
- Sveriges lantbruksuniversitet
- 8 more »
- « less
-
Field
-
. The successful candidate holds/or are about to receive a Master of Science degree in computer science, data science, or a related area, and have strong background in algorithmic design, data mining, machine
-
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
-
machine unlearning. Machine unlearning strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct
-
. Presently around 100 people, including 35 PhD students and 15 postdocs, in 25 research groups work at DEEP. For more information about us, please visit: the Department of Ecology, Environment and Plant
-
. Presently around 100 people, including 35 PhD students and 15 postdocs, in 25 research groups work at DEEP. For more information about us, please visit: the Department of Ecology, Environment and Plant
-
senior researchers and will also include three PhD students and newly recruited postdocs. As a PhD student, you will be part of the interdisciplinary research group and participate in the WASP-HS national
-
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
-
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
-
postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
-
theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department