Machine learning methods for recognition of vibrational spectra and electrical signal of pathogens and volatile organic compounds

20 Apr 2024
Job Information

Organisation/Company

UNIVERSITA DEGLI STUDI DI CAMERINO

Research Field

Physics

Researcher Profile

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

Country

Italy

Application Deadline

16 May 2024 - 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 an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The plan is to apply machine learning numerical methods for rapid recognition and quantification of
the absorption spectra and of the analytes characterizing pathogens or volatile organic compounds
(VOCs). The recognition procedure will be trained and tested against known spectra obtained from
the laboratories collaborating in the PRIN-PNRR 2022

Requirements
Additional Information
Eligibility criteria

Eligible destination country/ies for fellows:

• Italy

Eligibility of fellows: country/ies of residence:

• AFRICA
• EUROPE
• OCEANIA
• NORTH AMERICA
• SOUTH AMERICA
• ASIA

Eligibility of fellows: nationality/ies:

• AFRICA
• EUROPE
• OCEANIA
• NORTH AMERICA
• SOUTH AMERICA
• ASIA

Website for additional job details

https://www.unicam.it/bandi/2024/bando-protn-28450-del-16042024

Work Location(s)

Number of offers available

1

Company/Institute

UNIVERSITA DEGLI STUDI DI CAMERINO

Country

Italy

Geofield

Where to apply

Website

https://e-forms.unicam.it/rwe2/module_preview.jsp?MODULE_TAG=AR_2024_SSFPS_2845…

Contact

City

Camerino

Website

https://www.unicam.it/

STATUS: EXPIRED