Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- Lulea University of Technology
- Lunds universitet
- University of Lund
- Umeå universitet
- Jönköping University
- Luleå tekniska universitet
- Stockholms universitet
- Institutionen för molekylära vetenskaper
- Karlstad University
- Karolinska Institutet, doctoral positions
- Mid Sweden University
- Mittuniversitetet
- Nature Careers
- 9 more »
- « less
-
Field
-
We are looking for a PhD student in Visual Learning and Communication with a focus on interactive visualization, visual learning, science communication, and educational science, formally based
-
will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
-
epidemiology and biology of infection covers research that will transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations
-
program! Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks
-
developing a data-driven framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and
-
will focus on developing theoretical and algorithmic foundations for goal-oriented, semantics-aware communication enabling timely and reliable cloud-to-agent interactions. For more details on semantic
-
diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health
-
within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
-
framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and quantitative shape
-
diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health