Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SciLifeLab
- Uppsala universitet
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Institutionen för Biologi och miljövetenskap
- Linköping University
- Lunds universitet
- Swedish University of Agricultural Sciences
-
Field
-
prediction Integrating various types of spatial single-cell data, such as gene expression and protein expression data Developing image analysis methods for histopathological specimens using AI-based models As
-
-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models
-
for understanding their reliability and for making informed decisions based on their predictions. This project aims to develop new methods for uncertainty quantification in mathematical and statistical models
-
application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
-
application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
-
modelling of flow and transport, analysis of uncertainties in model predictions, and development of efficient methods for evaluating their implications for geological repository safety. The methods will be
-
patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer immunity and develop diagnostic approaches that accurately predict therapy benefit and
-
research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
-
Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 25 days ago
is sensitive to cognitive training-induced plasticity. Across modalities, diagnostic and prognostic models will be developed to determine the added value of each technique, alone and combined with
-
, and policy. However, we still cannot reliably predict how climate change will affect animal populations across their full life cycle. Accumulating evidence suggests that early life stages can be more