Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Linköping University
- Lunds universitet
- Nature Careers
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Karolinska Institutet (KI)
- Stockholms universitet
- Linnaeus University
- Karlstad University
- Blekinge Institute of Technology
- Örebro University
- Jönköping University
- University of Gothenburg
- Uppsala universitet
- Luleå University of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- University of Borås
- KTH
- Karlstads universitet
- ;
- European Magnetism Association EMA
- Lund University
- Lund University
- Lund university
- Malmö universitet
- 22 more »
- « less
-
Field
-
experience in experimental particle physics and data analysis Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
funded by a EU programme Reference Number 304--1-14162 Is the Job related to staff position within a Research Infrastructure? No Offer Description Join a research team developing state-of-the-art open
-
learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
-
develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
-
the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
-
and synchrotron X-ray microtomography; experience with 4D (in-situ/operando) X-ray microtomography experiments; experience in developing 3D/4D image data analysis algorithms; experience using 3D/4D
-
Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event selection, or object reconstruction Interest in student
-
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
-
, the work might involve implementing new algorithms in the SCT tool Supremica, which is developed by the Automation group. Main responsibilities Conduct research in collaboration with senior researchers and