FEA, Machine Learning, Data fusion. Low-cost tools and machine learning for prediction in heritage wood mechanical decay
10 May 2024
Job Information
- Organisation/Company
Università degli studi della Campania- Research Field
Engineering- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Country
Italy- Application Deadline
20 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
New Machine Learning tools for predicting future indoor conditions in museum halls, Optimisation using Machine Learning algorithms, Integration of Finite Element Analysis with heat maps for structural analysis of artefacts and rooms, Machine Learning for optimisation of computational load and training of datasets
Requirements
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
Eligibility of fellows: nationality/ies:
- EUROPE
- Website for additional job details
https://www.unicampania.it/index.php/ricerca/assegni-di-ricerca/bandi
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Università degli studi della Campania
- Country
- Italy
- Geofield
Where to apply
- Website
http://www.unicampania.it
Contact
- City
Caserta- Website
http://www.unicampania.it
STATUS: EXPIRED
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