Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- KTH Royal Institute of Technology
- Nature Careers
- Stockholms universitet
- University of Borås
- Jönköping University
- Lulea University of Technology
- Umeå universitet stipendiemodul
- Uppsala universitet
- Faculty of Culture and Society
- Faculty of Technology and Society
- Göteborg Universitet
- Göteborgs Universitet
- Göteborgs universitet, Department of Marine Sciences
- Higher Education Institute
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för kemi och molekylärbiologi
- Institutionen för molekylära vetenskaper
- Karolinska Institutet (KI)
- Karolinska Institutet, doctoral positions
- Linköpings universitet
- Linnéuniversitetet
- Luleå university of technology
- Mid Sweden University
- Mittuniversitetet
- Sveriges Lantbruksuniversitet
- Umea University
- 24 more »
- « less
-
Field
-
. The Research spans all areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from
-
computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
-
imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
-
perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
-
of protein design with synthetic biology approaches - Previous work in interdisciplinary research environments Personal qualities such as analytical thinking, independence, collaboration skills, and scientific
-
dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
-
pathogenesis. To address this, our project utilizes novel semi-permeable capsule technology , molecular barcoding, and high-dimensional data analytics to interrogate prokaryotic cells at the single-cell level
-
statistical mechanics. The Computational Biochemistry group consists currently of eight coworkers and combines quantum chemistry, statistical mechanics and machine learning with biochemistry, medicinal
-
of antenna structures. We are now looking for a new colleague in the form of a doctoral student in Electrical Engineering with focus on secure distributed learning. Being a doctoral student As a doctoral
-
: developing and applying image analysis and sensor technologies (e.g. RGB/NIR) for textile production, as well as using machine learning for process optimisation and performance prediction from fibre