Smart acquisition and quantitative analysis for live-cell imaging and clone selection

Position: Research appointment (pre-doc) Institute: Uni. Pavia
Posted on: 01/04/2026 Elapsing! Deadline: 08/05/2026

Scientific-Disciplinary Group

09/IBIO-01 - Bioengineering

Description

The activity will focus on the development and validation of smart acquisition workflows guided by cell-cycle state for live-cell microscopy, with implementation of automated routines in microscopy software on widefield and spinning-disk systems. The project includes multi-channel and volumetric imaging, identification of mitotic events, selection and validation of cell clones, benchmarking of denoise/sharpen algorithms, and quantitative analysis of the generated datasets.

Funding body

Università di Pavia

Selection process

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The application for admission to the selection procedure (dated and signed),the documents and publications considered useful for the evaluation must be submitted, under penalty of exclusion, electronically, by visiting the following web page: https://pica.cineca.it/unipv/tipologia/idr selecting the Competition Notice you have chosen. In order to register with the system, you must have an email address. Following the guidelines published in the procedure, the applicant must enter all the information required for the application, enclosing all documents in electronic .PDF format. The selection of candidates is carried out on the basis of qualifications and possible interview (with test of knowledge of the foreign language) (see Art. 1 par. 1 Call for applications).Un The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idrThe selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a master's degree or single-cycle degree obtained no more than six years previously are eligible to participate in the selection process. These degrees must be relevant to the subject of the research activity. Further specific assessable qualifications (see Art. 1 par. 1 Call for applications):Experience in the development of smart/live imaging workflows guided by cell-cycle state; implementation of automated acquisition routines in microscopy software; skills in multi-channel imaging, clone selection and validation, benchmarking of denoise/sharpen algorithms, and quantitative image analysis.