Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- KTH Royal Institute of Technology
- SciLifeLab
- Chalmers University of Technology
- Lunds universitet
- Chalmers tekniska högskola
- Linköping University
- Umeå University
- Uppsala universitet
- University of Lund
- Karolinska Institutet (KI)
- Umeå universitet
- Blekinge Institute of Technology
- Linköpings universitet
- Stockholms universitet
- Luleå University of Technology
- Nature Careers
- Karlstads universitet
- Umeå universitet stipendiemodul
- Karlstad University
- Linkopings universitet
- Linneuniversitetet
- Lulea University of Technology
- Malmö universitet
- Mälardalen University
- The University of Gothenburg
- University of Borås
- University of Gothenburg
- chalmers tekniska högskola
- Örebro University
- Chalmers Tekniska Högskola
- Chalmers Tekniska Högskola AB
- Chalmers tekniska högskola AB
- Department of Chemistry and Molecular Biology, University of Gothenburg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- Kungliga Tekniska högskolan
- Linköping university
- Linköpings University
- Linnaeus University
- Luleå tekniska universitet
- Lund University
- NORDITA-Nordic Institute for Theoretical Physics
- School of Business, Society and Engineering
- Stockholm University
- Sveriges Lantrbruksuniversitet
- Swedish University of Agricultural Sciences
- 36 more »
- « less
-
Field
-
the opportunity to: Acquire cutting-edge techniques for studying protein dynamics during ageing Explore fundamental biochemical mechanisms underlying the protein quality control of mitochondrially
-
(transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional
-
– from materials design and processing to machining, mainly of metals. Our expertise spans powder metallurgy, electroplating, additive manufacturing, and material removal, combined with advanced
-
analyses and machine learning. Some data for the project already exist, but additional data will be collected from behavioural tests on privately owned pet dogs in Sweden and abroad (Europe). Travel and time
-
development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The position is aimed at researchers early in their career
-
through the application of both well-established statistical modelling and newer machine learning methods. The research specialist will be integrated in the computational team led by John Wallert
-
phenotypes, based on both statistics/machine learning and computational mechanistic modelling. The group specializes in analysing complex OMICs datasets (e.g., transcriptomics, proteomics, microbiota
-
to measure these backgrounds in data. The project also aims to explore to which extent machine learning methods can help with these tasks, e.g. object reconstruction and signal vs background discrimination
-
involve collaborating with our researchers to process occupational classifications, harmonize census data, develop machine learning models, run statistical models, and write research articles
-
. The position is linked to a research project (through WISE and WASP ) in collaboration with experts in both machine learning and artificial intelligence (Pawel Herman at KTH’s Department of Computer Science and