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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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experience in histology, microscopy, or immunostaining Basic data visualization skills in Python As a person, you are collaborative, proactive, and flexible, with the ability to adapt to different project
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learning models for digital phenotyping and genomics Work with multimodal datasets (images, 3D data, motion, genomics) Implement models in Python (e.g. PyTorch) using high-performance computing
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processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. The University may permit
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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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R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
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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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skills, particularly in Python and/or R · Experience in machine learning and AI · Fluency in spoken and written English · Ability to work independently as well as in interdisciplinary teams Meritorious
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programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome
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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