Computational Analysis, Structure Prediction and Protein Design Using Bioinformatics and Machine-Learning Approaches

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description 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. Where to apply Website https://pica.cineca.it/sns . Requirements. Additional Information . Eligibility criteria. 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. Eligible destination country/ies for fellows: . Italy. Eligibility of fellows: country/ies of residence: . Afghanistan. Albania. Algeria. American Samoa. Andorra. Angola. Antigua And Barbuda. Argentina. Armenia. Aruba. Australia. Austria. Azerbaidjan. Bahamas. Bahrain. Bangladesh. Barbados. Belarus.