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applied at several stages of the pipeline. While these tools are relatively easy to implement at the image processing level (e.g., particle picking or reconstruction), their application to sample
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workflows and post-processing pipelines. Maintenance and development of the group’s codebase and GitHub repositories, and providing cluster computing support for large-scale data analysis. Programming and
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, interpretation, archiving, dissemination etc. for at least one common imaging modality (e.g. light or electron microscopy) Experience developing scripts and tools for data transformation and processing (e.g. in
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. Experience or interest to learn about data processing of targeted or untargeted metabolomics datasets. Contract length: 1 years Salary: Grade 6 (monthly salary starting at €4,459.95 after tax) + other paid
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software for acquisition, processing or analysis, such as SerialEM, SBEMimage, IMOD, MIB, Amira or Dragonfly A service mindset. You enjoy helping users succeed and can explain techniques clearly
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diverse problems in developmental and organismal biology, focusing on the laboratory mouse. Research groups within the unit explore topics in epigenetics, gene regulation, sensory processing, and circuits
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extraction of side effect data from a range of documents. Your role will focus on developing and implementing machine learning and data processing pipelines for the extraction of safety data. The position
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. Experience in scientific software development, preferably using Python. Experience designing or implementing data-integration workflows, APIs or data-processing pipelines. Familiarity with FAIR data
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workflow would allow high-throughput processing of phylogenetically and physiologically diverse microbes in a multiplexed manner, enabling comparative studies of cellular architecture at scale. You have