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We are looking for an enthusiastic, communicative, and highly motivated Tenure Track Assistant Professor with experience in Computational Biology, Machine Learning, and Artificial Intelligence (AI), who is interested in resolving big data-driven fundamental research questions in the Green Life Sciences.
As a Tenure Track researcher, you will be part of the Plant-Microbe Interactions (PMI) team of the Department of Biology but work in close collaboration with scientists in the AI Technology for Life cluster at the Department of Information and Computing Science. The PMI team is focused on unravelling the dynamics and complexity of root-microbiome interactions and of gene regulatory networks that steer the plant immune system. Besides strengthening the PMI team, you are encouraged to join forces with other life scientists at Utrecht Science Park to build your independent research group.
As an Assistant Professor, you actively do research, teaching, and supervision. We are looking for candidates with proven excellence in research and teaching, who can develop an independent research line at the interface of Plant-Microbe Interactions and AI Technology for Life. At the same time you are able to connect to, complement, or extend other research themes in the Department of Biology and beyond.
The Green Life Sciences research field is increasingly becoming data-driven. Technological developments have resulted in experimental methods producing vast amounts of data (e.g. next-generation sequencing or other omics techniques, high-throughput phenotyping). Also, the analysis, interpretation, and integration of different types of big data is becoming more and more complex. To address current and future questions in Green Life Sciences research, it is crucial to invest in novel and powerful computational data science approaches and AI. This enables our researchers to address increasingly complex data challenges and address novel, next-level biological research questions. Translation of the developed AI technology and resulting discoveries to the application will contribute to solving real-world problems. Computational biology and bioinformatics are already well developed within the Faculty of Science, but would highly benefit from strong investments in researching, developing and implementing algorithmic, data science, and AI methodology, provided by synergistic collaboration with Information and Computing Sciences in the AI Technology for Life cluster of the Faculty of Science.
To further build our team, we find it important that you can think critically and creatively and have strongly developed social skills. You have the capacity and interest to develop leadership skills for a future staff position in the Plant-Microbe Interactions group in the framework of the AI Technology for Life cluster at Utrecht Science Park.
If you are excited to play a connecting role at the interface of AI and the Green Life Sciences we invite you to apply.
You have a track record in developing AI/Data Science technology and its application in modern life sciences research, which is evident from your publications with impact in international conferences and journals. Your experience allows you to be at ease with diverse types of experimental data: molecular (e.g. DNA/RNA/protein sequences), organismal (e.g. phenotypes of whole plants), and/or other experimental data types. We are seeking a driven, creative and collaborative candidate with the following qualifications:
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