Explore Fully Funded PhD opportunities at the SciLifeLab, Solna, Sweden across a range of departments. Apply now to be considered for these prestigious positions.
1. Fully Funded PhD Programs in Bioinformatics
Summary of PhD Project
A new exciting opportunity is combining spatial biology with AI-driven modeling of gene expression responses to drug treatment in the field of drug repurposing. Drug repurposing involves identifying new therapeutic uses for existing medications, a strategy that can significantly reduce the time and cost required to bring a drug to market. The project will use AI models such as CycleGANs, that by learning from complex spatial gene expression profiles and cellular heterogeneity within tissues can predict how existing drugs might act on previously uncharacterized disease mechanisms or cellular subtypes.
Application Deadline: August 15, 2025
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2. Fully Funded PhD Programs in Chemistry with specialization in Organic Chemistry
Summary of PhD Project
This project focuses on the development of novel fluorinated amino acids as a 19F-NMR probe to study protein dynamics and protein-ligand interaction to facilitate drug discovery. It is financed by SciLifeLab, and hence the work is performed in close collaboration other research teams active at Uppsala University and SciLifeLab. These contribute to the project with knowledge in synthetic organic chemistry, biochemistry, structural biology, and NMR spectroscopy. The successful candidates will become a part of an international multidisciplinary environment and will receive ample opportunities for learning, collaboration and knowledge transfer.
Application Deadline: July 30, 2025
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3. Fully Funded PhD Programs in Bioinformatics
Summary of PhD Project
Your studies in Bioinformatics will be in the project “Quantitative predictions of protein – DNA interactions from high-throughput biophysical binding data”. Sequence specific binding and recognition between transcription factors and DNA control gene expression at the molecular level. While structural predictions using deep learning methods like AlphaFold have revolutionized our understanding of sequence dependent molecular structure, we currently have much more limited understanding of how the genetic code specifies binding rates and affinities for interacting molecules.
Application Deadline: July 31, 2025
