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qualifications and skills: You hold a Doctorate degree (Ph.D.) in data science, bioinformatics, computational biology, genetics, or a closely related field. You have a strong background in machine learning (e.g
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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biology, bioinformatics, geography, or a related field with a focus on biodiversity monitoring, nature conservation, or macroecology. Knowledge and experience in databases, data portals, and biodiversity
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offer: Room to bring and develop your own ideas Integration in a cooperative, experienced and highly motivated team Support by technical assistance and the in-house Bioinformatics, IT and Database
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bioinformatics (Linux, R) would be desirable FELASA-equivalent certification and experience in the planning, execution and documentation of animal experiments is a plus, but not a prerequisite Excellent spoken and
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genetics, physiology, taxonomy, chromosome biology or bioinformatics and a good command of the English language. Requirements for the application For your application as citizen of one of the following
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data Integration of data from multiple Omics experiments Your profile: You hold a university degree (master or PhD) in bioinformatics or computer science, with experience in algorithm and software