6 Mathematics "Luxembourg Institute of Health" PhD scholarships in Italy

PhD Programme in Mathematics, 40th cycle

11 May 2024 Job Information Organisation/Company Università degli Studi di Trento Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage

Announcement of a public selection for admission to PhD programs administratively based at the Università degli studi di Bergamo - Round XL

18 May 2024 Job Information Organisation/Company Università degli studi di Bergamo Research Field Mathematics Computer science Chemistry Physics Biological sciences Medical sciences Engineering

Call for Applications for the admission to the PhD programmes of the University of Udine in the Academic Year 2024/2025, 40th cycle

Medicine; - Food Science; - Environmental and Energy Engineering Science; - Agricultural and Biotechnological Sciences; - Mathematical and Physical Sciences; - Clinical and Translational Medical Sciences

Call for the Admission to PhD positions–XL Cycle-ay2024/2025 with the assignment of doctoral scholarships financed by the University,Next Gen.EU-NRRP(Nat. Recov. and Resil Plan)ex DDMM 629,630/2024and other funds.Deadline:20/6/2024-12.00am-noon,CET

sciences Computer science Cultural studies Economics Educational sciences Environmental science History Information science Juridical sciences Language sciences Literature Mathematics Medical sciences

FAIROmics - PhD fellowship in Network-based algorithms for Knowledge Graph construction and analysis and application to the Omnicrobe knowledge graph.

, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs

FAIROmics - PhD fellowship in Artificial Intelligence-based tools for information retrieval from text documents - Automatic information extraction from scientific publications and other sources to build knowledge graph.

master’s degree in a relevant discipline (Physics, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing AI-assisted tools for information extraction