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. Analysis covers preprocessing, assembly of DNA fragments into complete genomes, imputation of missing data, filtering of bad data, prediction of the meaning of the DNA in individual cells, compression
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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registry data is a plus). Familiarity with biomedical ontologies, controlled vocabularies, or coding systems such as SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), NPU (Nomenclature
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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harmful content or incorrect code. This project introduces a new idea: instead of relying on opaque, heavy machine-learning models, it learns transparent, rule-based rewriting systems that can transform