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deviations for stochastic processes, and interacting particle systems. The group also has both national and international collaborations. Duties The postdoctoral position offers an opportunity to further
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interdisciplinary department, which focuses on questions in basic and medical sciences and provides an interactive modern environment with good core facilities. Umeå University is one of Sweden’s largest higher
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position in the fields of photoreceptors, molecular biology and neurobiology. The ideal candidate is expected to work both independently and as part of an interactive team. The full-time scholarship is for 1
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that values innovation, supports professional development and encourages a good work-life balance. This environment is ideal for those who enjoy solving complex problems and pushing the boundaries of what is
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systems (e.g., Snakemake, Nextflow, or equivalent) Prior experience with interactive data visualization frameworks Experience analyzing spatial transcriptomics data (e.g. 10x Visium, image-based) Experience
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project is led by Professor Tora Holmberg. The person who receives the position will be supervised by the project manager but work independently and has great opportunity to influence and design the project
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involved in the commercialization of the methods, as we are on the path to founding a company. Tasks will therefore include interacting with collaborators from industry and public agencies. Qualification
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the project actively, keep updated with the literature, interact with the other team members, be active at journal clubs and meetings, present results pedagogically, write reports and papers, and have a
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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, At least one original publication in a peer-reviewed journal, A background in the relevant methods, A complete application package submitted through the AMBER portal (including CV and detailed research plan