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conjunction with the appointment and one teaching and two research mentors shall be appointed to support the successful candidate in implementing this plan. Application Last application date is 15/11/2025
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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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quality, originality, and feasibility of your research plan within the relevant subject area. In addition to the general eligibility requirements and assessment criteria, the alignment of your application
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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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quality, originality, and feasibility of your research plan within the relevant subject area. In addition to the general eligibility requirements and assessment criteria, the alignment of your application
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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application! Work assignments The purpose of the position as an assistant professor is that the teacher should be given the opportunity to develop his independence as a researcher and to merit both
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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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. Assessment criteria It is particularly meritorious that the applicant has shown Programming expertise: Proficiency in Python, R, and/or workflow management systems (Nextflow, Snakemake) Bioinformatics
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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