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Ivano Legnini

Group Leader

Politecnico di Torino

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Italy

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Research Interests

Artificial Intelligence

10%

Systems Biology

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Biology

10%

Bioinformatics

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Rna Biology

10%

Molecular Biology

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Positions1

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Ivano Legnini

University Name
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Politecnico di Milano

PhD Position in AI and RNA Biology at Politecnico di Milano

A PhD position is available in the lab of Ivano Legnini, Group Leader at Human Technopole, in collaboration with Florian Jug, focusing on the intersection of artificial intelligence (AI) and RNA biology. The research will be conducted at Politecnico di Milano, Italy's largest scientific and technological university, renowned for its multidisciplinary approach and excellence in research and education. The project will explore advanced topics in molecular and systems biology, leveraging AI and computational methods to investigate RNA mechanisms and functions. This opportunity is ideal for candidates passionate about bioinformatics, molecular biology, and the application of AI in life sciences. The position is co-supervised by Ivano Legnini and Florian Jug, offering a collaborative and interdisciplinary research environment. The Politecnico di Milano provides a vibrant academic community, state-of-the-art facilities, and a strong commitment to scientific rigor and innovation. The university is located in Milan, a major European hub for research and technology. Applicants should have a solid background in molecular biology, systems biology, bioinformatics, or related fields, and a strong interest in AI and RNA research. The specific requirements and application procedures can be found on the official Politecnico di Milano PhD admissions page. Funding details are not specified in the announcement; candidates are encouraged to consult the university website for information on available scholarships and financial support. To apply, visit the provided link to the Politecnico di Milano PhD admissions portal, review the eligibility criteria, and submit your application as instructed. This is an excellent opportunity to join a leading research group at the forefront of AI-driven RNA biology.