Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Linköping University
- Uppsala universitet
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Swedish University of Agricultural Sciences
- SciLifeLab
- University of Borås
- University of Gothenburg
- Göteborgs Universitet
- KTH
- Kungliga Tekniska högskolan
- Linnaeus University
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Mid Sweden University
- Nature Careers
- Stockholms universitet
- Umeå University
- 13 more »
- « less
-
Field
-
prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
-
are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
-
, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
-
application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
-
their PhD. Project description The aim of this project is to deepen the fundamental understanding of machine learning through the lens of optimal transport theory, systems theory, and statistical physics
-
Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
-
position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
-
‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
-
Uppsala University's third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department
-
modelling, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research