Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- University of Lund
- Lunds universitet
- KTH Royal Institute of Technology
- Swedish University of Agricultural Sciences
- Linköping University
- Karolinska Institutet (KI)
- Nature Careers
- Sveriges lantbruksuniversitet
- Stockholms universitet
- Lulea University of Technology
- Linnaeus University
- Karlstad University
- Mälardalen University
- University of Gothenburg
- Uppsala universitet
- Blekinge Institute of Technology
- Luleå University of Technology
- Jönköping University
- Örebro University
- Umeå universitet
- Stockholm University
- Chalmers tekniska högskola
- Karlstads universitet
- Umeå universitet stipendiemodul
- KTH
- Linneuniversitetet
- University of Borås
- ;
- Chalmers
- Chalmers University of Techonology
- Epishine
- European Magnetism Association EMA
- Fureho AB
- Linköpings universitet
- Lund University
- Lund University
- Lund university
- Malmö universitet
- School of Business, Society and Engineering
- Södertörn University
- 33 more »
- « less
-
Field
-
intersection of AI and experimental science, combining fundamental algorithmic development with real-world applications in scientific imaging. Due to limitations in electron dose and scan stability, microscopy
-
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
-
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
-
learning, optimization algorithms, and interoperability frameworks for optimal energy management across Europe. KTH leads technological landscape analysis, multi-energy investment planning tool development
-
research projects and prepare for an international research career. Read more about the research at The Department of Chemistry – BMC at our website . The Westenhoff research team focuses on resolving
-
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
-
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
-
, 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