Pica Code-101 Study and analysis of multimodal data for estimating surgeons’ ergonomic indic (Roma)

Pica Code-101 Study and analysis of multimodal data for estimating surgeons’ ergonomic indic (Roma)

07 nov
|
Italian Ministry of Education, University and Research
|
Roma

07 nov

Italian Ministry of Education, University and Research

Roma

Organisation/Company Unimore Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 19 Nov 2026 - 13:00 (UTC) Country Italy 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 work will involve developing algorithms for hand-motion and posture
recognition to estimate ergonomic indices, as well as supporting the development ofalgorithms for intraoperative tissue and organ segmentation and surgical tool pose
estimation. Specifically, the activities will be framed within WP2 "Trustworthy DL"
algorithms for scene understanding and ergonomy assessment", contributing to the
development of Task 2.2 and 2.1.
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
OTHER
Selection process selective public procedure based on qualifications and interview

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📌 Pica Code-101 Study and analysis of multimodal data for estimating surgeons’ ergonomic indic (Roma)
🏢 Italian Ministry of Education, University and Research
📍 Roma

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