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Scuola Normale Superiore in Italy invites applications for a research position focused on analysing the relationships between protein sequence, structure and function using structural bioinformatics methods. The project is conducted within an agreement with the Department of Chemistry of the University of Pisa, addressing DeepEn-related work and teaching contributions.
Applicants from Italy and abroad with a PhD or equivalent degree are welcome; English proficiency is required.
Organisation/Company Scuola Normale Superiore Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 24 Nov 2026 - 16:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Research activities within research project referred to in the agreement between the SNS and the Department of Chemistry of the University of Pisa, concerning the direct commissioning of scientific consulting services for the School, within the framework of the project submitted by the University of Pisa in response to the FIS 2 Call for Proposals, titled "A Deep learning from Nature to design novel flavin-based photoEnzymes", acronym DeepEn, to which the contract will be bound, as well as collaboration in the teaching and third mission activities of the Faculty. In particular the research activity will be focus on analysing the relationships between protein sequence, structure and function using structural bioinformatics approaches, including multiple sequence alignments and structural comparisons.
Both Italian and non-Italian applicants may take part in the selection who are in possession of a PhD, or
an equivalent degree attained abroad.
A knowledge of English is required.
Eligibility of fellows: country/ies of residence:
Eligibility of fellows: nationality/ies: