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qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant must be proficient in programming in Python and Java script. Have strong cooperation and
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documented expertise in large-scale long-read metagenome projects within environmental genomics. This includes development of wet-lab protocols, sequencing, associated bioinformatics and usage of HPC SLURM
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at Aalborg University and Aalborg University Hospital. At CLINDA, the research focus is on the development and implementation of clinical AI, bioinformatics and biostatistics, and methodological development
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- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
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bioinformatics and experience or interest in data analysis or the physiology of the human body, including heart, kidney and gut microbiome. The job can potentially be continued in a PhD position. As a person, you
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Nutrition and Synthetic biology. MBG gives access to expertise in a broad range of molecular biology and bioinformatic infrastructure. Together Aarhus University makes a world-class research community with
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
across research fields including quantitative genetics, machine learning, bioinformatics, and population genetics Excellent opportunities for publishing in peer-reviewed journals Place of work Aarhus
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across research fields including quantitative genetics, machine learning, bioinformatics, and population genetics Excellent opportunities for publishing in peer-reviewed journals Place of work Aarhus
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bioinformatics analyses applied to AMR Are experienced in working within quality-assured and accredited laboratory environments Can manage complex tasks independently and take responsibility for coordination
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, engineering, bioinformatics, or a related field Documented experience working with complex datasets, including data integration across modalities and scales, and translating such data into robust analytical