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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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learning or deep learning, preferably with transformer architectures Experience in probabilistic modelling or Bayesian statistics Programming skills in Python, preferably with PyTorch or similar frameworks
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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years of experience in systems development with Python and version control systems, e.g., Git – Documented experience with using container and cloud technologies such as Docker, Helm, and Kubernetes
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Experience with bacterial genetic manipulation Experience with data processing and analysis Basic programming or bioinformatics skills (e.g., R or Python) Further information The position is a fixed-term
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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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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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) 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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++, 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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for The following requirements are mandatory for the role: A university degree in a relevant area Documented experience in Python and/or other relevant programming languages Documented experience from working in