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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
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. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source
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existing and emerging methods Support of CFG users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation
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The Department of Biochemistry and Biophysics is now searching for two positions as Application specialist in AI for life science to the Swedish AI factory at Stockholm University. SciLifeLab
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, contribute to a better world. We look forward to receiving your application! The position We are seeking a Bioinformatician with a strong background in genomics, epigenetics and multi-omics and some expertise
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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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contact: Professor Per Andrén, e mail: per.andren@uu.se and Associate Professor Anna Nilsson, e-mail: anna.m.nilsson@uu.se Please submit your application by October 31th 2025, UFV-PA 2025/2824 Uppsala
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maintaining reproducible and modular data analysis workflows Solid understanding of statistical methods and their application to transcriptomics and image-derived data Familiarity with public biological data
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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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bioinformatics for large-scale DNA sequencing (NGS) using Illumina, ONT, or PacBio platforms. Strong programming skills in Python Proficiency in Linux environments. Experience with container technologies (e.g