Development of Hybrid Mathematical Models Based on Artificial Intelligence Techniques for the S[...]

3 giorni fa


Italia Università di Trento A tempo pieno

Organisation/Company: Università di Trento

Research Field: Biological sciences

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 13 Jan 2025 - 23:59 (UTC)

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

Offer Description

The objective of this research is to develop hybrid mathematical models based on artificial intelligence techniques to describe the dynamics of potential epidemic outbreaks of vector-borne diseases, such as dengue and chikungunya, transmitted by mosquitoes. These models will be used to investigate control strategies that account for potential behavioral changes in the population due to information about the epidemic.

Eligibility of fellows

Country/ies of residence:

  • AFRICA
  • EUROPE
  • OCEANIA
  • NORTH AMERICA
  • SOUTH AMERICA
  • ASIA
  • OTHER
  • E.U.
  • CHINA (MAINLAND)
  • CHINA (HONG KONG)

Nationality/ies:

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