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for scientific applications and an understanding of their operating principles A proven ability in software development and data analysis in a high-level programming language (Python, C++, Rust...) in
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Unix command-line interface (CLI) and Bash coding as well as skills in another programming language such as Python or R for analysis and visualization of single-cell RNA sequencing is a requirement
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employment decision is made. As an applicant you should have good programming skills not only in Python but also C++ and capability to develop scalable code to be deployed on supercomputers. You should also
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. Experience in computational integration of spatial transcriptomics with imaging data or quantitative image analysis. Experience programming in Python and Bash and working in HPC environments using workflow
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): Analysis of omics-data or other large-scale biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment
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, is required. You also need good programming skills in C++ and Python, and experience of ROS or ROS 2. Good oral and written English is required, since you will present the group's work in Sweden and
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requirements include very good understanding of statistics and biomarker analyses and modelling, coding experience (Python/Matlab/R/Bash etc.), excellent written and spoken English skills, experience
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genomics are required. The candidate should have proficiency in R, python, or comparable programming languages. Experience of working with long-read sequencing data is a plus. The candidate should
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experimental activities. Demonstrated experience in performing experiments with photoemission electron microscopy (PEEM) or low-energy electron microscopy (LEEM). Experience in programming (e.g., Python
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Python. Practical experience in antibacterial assays based on dilution or diffusion methodologies. Excellent proficiency in both Swedish and English, spoken and written. Good collaborative skills