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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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support. Experience of working in international collaborations or networks Experience of teaching Experience with scripting (e.g., Bash, Python, or R) and version control using Git About the employment
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++, Python, Rust, …). Demonstrated experience in one of the following areas, with a willingness to learn one another: (1) genome sequences and omics data, (2) deep learning, and (3) compressed data structures
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of Python or a similar programming language. Experience in developing pipelines for data processing and management, such as Nextflow or similar systems. Knowledge of methods and applications in molecular
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) Programming: Advanced proficiency in Python, R, or similar programming languages. Bioinformatics background: Industry or academic experience in applying data science to biomarker discovery/validation studies
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Comprehensive skills in data analysis and bioinformatics Proficiency in programming with Python Proficiency in version control (Git, GitHub) Meriting criteria are: Experience in mechanistic and ODE-based
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experimental experience in immuno-oncology Practical experience of bioinformatics and programming (e.g. in Python and/or R) Practical experience of multiplex flow cytometry and cell sorting Practical experience
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for seeking the position. Extensive experience with Python, Matlab, and R, and good UNIX knowledge are essential skills, as well as familiarity with biological omics data analysis techniques. Experience with
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g