Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- University of Lund
- Nature Careers
- Umeå University
- Linköping University
- Linnaeus University
- SciLifeLab
- Karolinska Institutet (KI)
- Jönköping University
- Lulea University of Technology
- Mälardalen University
- Swedish University of Agricultural Sciences
- University of Borås
- 3 more »
- « less
-
Field
-
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
-
research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
-
part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with
-
processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
-
Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
cases, shorter periods may be acceptable. Application process AnapplicationmustcontainthefollowingdocumentsinEnglishorSwedish: A complete curriculum vitae, including date of the thesis defence, title
-
of innovative textile processes and technologies. Welcome to the Swedish School of Textiles at the Faculty of Textiles, Engineering and Business! Mission 0 House Mission 0 House was created with one goal in mind
-
Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
acceptable. Application process AnapplicationmustcontainthefollowingdocumentsinEnglishorSwedish: A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic
-
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
-
dynamic processes in atoms and molecules using electron spectrometers. The positions imply the development of ultra-short pulse technology at high repetition rate in new wavelength ranges, with the help