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: Bayesian hierarchical deconvolution of spatial bins using matched snRNA-seq reference, cell-cell communication inference, and spatial niche identification Multi-omics integration: linking spatial and single
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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, clinical research, or translational science. Workflows: Proven track record in developing and implementing workflows to analyze biological data (e.g., proteomics, genomics, transcriptomics or multi-omics
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learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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offers two tracks: • Academic track (15 positions) hosted at Swedish universities or the Swedish Museum of Natural History • Industry track (7 positions) hosted by life science companies based in Sweden
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an international, stimulating, and collaborative research environment where your scientific career development is promoted. The project aims to track strain wide differences within human gut bacteria species in
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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tracking, and integrating these models into automated analysis and imaging workflows. The work also involves managing and quantitatively analyzing large-scale image datasets, method development in close
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analysis may involve testing your ideas and predictions in practice, e.g. by evolution experiments to track how organisms change under selection. Eligibility Doctoral studies require general eligibility and