Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- University of Lund
- Nature Careers
- Linköping University
- Umeå University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Luleå University of Technology
- Luleå tekniska universitet
- Umeå universitet
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Mälardalen University
- Jönköping University
- KTH
- Karlstad University
- Linnaeus University
- Lund University
- SLU
- Örebro University
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstads universitet
- Linköpings universitet
- Luleå university of technology
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Borås
- 29 more »
- « less
-
Field
-
diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
-
. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
-
measurement technique development, atmospheric modelling, and advanced methods for integrating observational and model data through data assimilation and machine learning. About the research project The overall
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
-
vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
-
imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
-
this environment, we offer lectures, workshops and other events for researchers, students, and the public. Read more about us at: https://www.umu.se/en/humlab/ Humlab is now looking for a postdoctoral fellow to work
-
are looking for a postdoctoral researcher with a strong background in speech synthesis and machine learning, with an interest in accessibility and human communication. Your Role You will: Plan and lead
-
on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and