Two Open Positions in Computer Vision and Cloud Infrastructure for Biomedical Applications (Italia)

Two Open Positions in Computer Vision and Cloud Infrastructure for Biomedical Applications (Italia)

09 set
|
Università di Trento
|
Italia

09 set

Università di Trento

Italia

Two Open Positions in Computer Vision and Cloud Infrastructure for Biomedical Applications within the UniTrento EnjoyTheLab Project
The EnjoyTheLab project, led by Luca Marchetti and Emiliano Biasini at DCIBIO, University of Trento, is seeking candidates for two positions under six-month co.co.co. contracts ( contratti di collaborazione coordinata e continuativa ).
EnjoyTheLab is a no-code platform that enables biomedical researchers to independently perform advanced bioinformatics analyses.
Currently focused on genetic data analysis, the web application aims to expand its capabilities by integrating computer vision solutions for the automated processing of laboratory images.

Contract and location
- Number of positions: 2
- Contract type: Co.co.co. ( contratto di collaborazione coordinata e continuativa )
- Duration: 6 months for each position
- Location: University of Trento, Italy. Some level of remote working may be considered.
- Expected start date: October/November 2026

How to apply
Please send your full application by email to [email protected], [email protected], and [email protected],



specifying in the subject line the position for which you are applying.

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Position 1 — Computer Vision & Deep Learning Researcher (Biomedical Imaging)
We are looking for an ambitious researcher or engineer eager to contribute to scientific and technological innovation in a rapidly growing biomedical field.

The scientific and technological innovation you will drive
Cutting-edge image quantification: Develop innovative algorithms for automatic lane detection, faint protein band segmentation, and molecular weight ladder alignment.
Biomedical vision and signal processing: Train and fine-tune deep learning models using PyTorch or TensorFlow to analyze complex gel and Western Blot images, addressing challenging cases such as high optical background noise, sample distortion, and signal saturation.
Benchmarked

📌 Two Open Positions in Computer Vision and Cloud Infrastructure for Biomedical Applications (Italia)
🏢 Università di Trento
📍 Italia

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