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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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development Skills, expertise and qualifications A Master’s degree in computational biology, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience
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scientific conferences Take part in open science and collaborative development Skills, expertise and qualifications A Master’s degree in computational biology, computer science, data science, bioinformatics
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models, algorithms and data structures for high throughput sequencing data with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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skills, ranging from health economics to cell and structural biology, bioinformatics, and clinical practice. Simultaneously, researcher training will boost scientific innovations, thereby driving disease
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in biology, forest sciences, environmental sciences, or data sciences. A strong background or motivation to learn ecological genetics and evolutionary biology as well as competence in bioinformatics