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Field
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. We combine human tissue resources, stem cell and organoid models, advanced microscopy, and computational approaches to address these questions. The laboratory is located at the Department of Laboratory
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the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong, international research environment, with access to advanced laboratory equipment and solid funding opportunities. You will be offered secure...
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Deadline 15 Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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(R1) Application Deadline 16 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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effects. Importantly, computational predictions will be directly linked to experimental evaluation of GalNAc-conjugated RNA therapeutics. This position offers a unique opportunity to work in a highly
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participating in international collaborations. Within NBIS, you will be part of the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under
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engineering, computer science, or similar. Strong written and verbal communication skills in English Experience in programming, mathematical modeling and simulation Personal competences in accordance with
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Next leap in the battery
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field, such as environmental science, economics, sustainability science, or a closely related field. Strong quantitative skills: modelling, data analysis, and scientific computing (e.g. R, Python). Strong