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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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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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graduation) in bioinformatics, biochemistry, biotechnology, or related field Experience in mass spectrometry-based data analysis Solid background in statistics and omics data processing Proficiency in R
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the organoid experiments and bioinformatics are performed in University of Helsinki, while the animal experimentation is performed in University of Oxford. The project utilizes a number of sequencing techniques
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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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
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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, bioinformatics, computer science, biostatistics, cancer genomics, or related fields. Candidates who are completing their PhD thesis are welcome to apply and should mention the expected date of their defense and
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. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. The appointment is a fulltime position and is made