Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Nature Careers
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- SciLifeLab
- Stockholms universitet
- University of Lund
- Umeå University
- Linköping University
- Sveriges lantbruksuniversitet
- Linnaeus University
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- Uppsala universitet
- Chalmers tekniska högskola
- Jönköping University
- Lulea University of Technology
- Luleå University of Technology
- Mälardalen University
- Stockholm University
- University of Gothenburg
- Lund University
- Lund university
- Mid Sweden University
- NORDITA-Nordic Institute for Theoretical Physics
- Umeå universitet
- University of Borås
- 18 more »
- « less
-
Field
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between remote brain areas in vivo in animal models that underlie plasticity in the prefrontal
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
-
. Within the division, the Kádár Group conducts research in the broader field of rheology and processing of soft matter. Our ongoing projects center around three main areas: Field–matter interactions
-
combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
-
to the engineering process, ensuring it is current and usable for informed decision-making in circular economy contexts. The research group studies how technology impacts organizations using mixed methods—both
-
their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
-
postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal conditions and disease states. The employment is full-time 100% with the desired start date on 15