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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be
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for advanced molecular analysis. The facility’s mission is to make this powerful technology accessible by offering ISS services to the research community. The primary responsibility of this role is to conduct
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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
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and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Bioinformatician Are you interested in working with bioinformatics analysis, with
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), document management, and KPI visualization. Developing and supporting internal systems, including LIMS (Laboratory Information Management System) and existing DevOps solutions (e.g., Ansible, GitLab
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repertoires, recombinant antibody development, and immunochemical analysis to study the evolution of such responses during therapy, in combination with assessment of clinical outcomes of the therapy to define
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that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for as research engineer at Uppsala University. Analysis of ancient DNA is a powerful tool to help
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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, volumetric analysis, and modeling of structural heterogeneity in biological macromolecules. Rather than only applying established workflows, you will explore new computational formulations and alternative ways
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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative