20 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers in Sweden
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of Medicine at Sahlgrenska Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages https
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Varbi (https://umustipendie.varbi.com/en/what:job/jobID:894778/ ). The deadline for submitting an application is 1st of March, 2026. Further information For further information about this project, please
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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Information about union representatives, see Help for applicants . Application procedure Apply via LiUs webpage for vacancies, https://liu.se/en/work-at-liu/vacancies/28629 . Your application must reach
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) or Swedish. The application is made through our electronic recruitment system (https://umu.varbi.com/en/what:job/jobID:885566/ ). The last day to apply is 2 February 2026. Cover letter and your reasoning
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Advance at Chalmers. You find the full list of PIs of these research groups on the Chalmers homepage: https://www.chalmers.se/en/collaborate-with-us/collaborate-in-research-and-innovation/research-related
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with equal or equivalent merits may be proposed for employment over a person of the opposite sex. Application When you apply, we ask you to answer questions in Varbi (https://umu.varbi.com/en/what:job
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is given great importance in the application for promotion. Further information The position is coming with an attractive starting package within the WISE Fellows program (https://wise-materials.org
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-seq, ATAC-seq, spatial transcriptomics, or related approaches strong programming skills in R and/or Python experience with reproducible data analysis, workflow development, and code-based project