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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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related field. Several years of documented professional experience in the relevant field Strong knowledge in bioinformatics related to affinity based proteomics. Proficiency in R, Python or similar
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education good knowledge of English, both written and spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able
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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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in Python and/or R experience using relevant bioinformatics tools or frameworks, such as Seurat, Scanpy, or similar good ability to work independently as well as collaboratively in a multidisciplinary
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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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programming languages (e.g. Python) Basic knowledge of molecular biology, genetics and evolutionary biology Strong scientific curiosity, drive and independence Desirable knowledge and experience: Experience
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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