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Human Technopole

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Postdoc in Digital Pathology and Spatial Transcriptomics at Human Technopole Human Technopole in Italy

Degree Level

Postdoc

Field of study

Computer Science

Funding

4-year contract under CCNL Chimico Farmaceutico, Level B2. Salary up to €43,000 depending on seniority, plus €2,000 welfare. The position includes competitive welfare provisions, flexible working policies, relocation support, and potential tax benefits for researchers moving to Italy.

Deadline

Sep 15, 2026

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Country

Italy

University

Human Technopole

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Keywords

Computer Science
Biomedical Engineering
Biology
Alzheimer's Disease
Neuropsychology
Medical Science
Neuropathology
Genomic
Computational Imaging
Digital Pathology
Statistics
Spatial Transcriptomic
ML

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About this position

Human Technopole in Milan is recruiting a Postdoc in Digital Pathology within the Glastonbury Group and the Scientific AI Flagship Research Programme. The project sits at the intersection of machine learning, computational imaging, spatial transcriptomics, neuropathology, and genomics, with a focus on Alzheimer’s disease, related dementias, and control cohorts.

The successful candidate will work with a unique collection of approximately 30,000 whole-slide images (H&E, IHC), together with tissue imaging, spatial transcriptomics, neuropathology reports, and genomic data. Research themes include multimodal data integration, self-supervised learning, foundation models, image registration, and quantitative analysis of brain pathology.

Eligibility highlights: a PhD in machine learning, computer science, or a related discipline; strong programming and data-handling skills (git, HPC environments); fluency in English. Preferred experience includes machine learning for digital pathology or spatial transcriptomics, multimodal modelling, and relevant publications.

Funding and terms: 4-year contract under CCNL Chimico Farmaceutico, Level B2, with salary up to €43,000 depending on seniority plus €2,000 welfare. Human Technopole also mentions relocation support, flexible working, and career development opportunities.

How to apply: submit a CV, an English motivation letter, and contact details for two referees via the employer’s website. The closing date is 15 September 2026.

Funding details

4-year contract under CCNL Chimico Farmaceutico, Level B2. Salary up to €43,000 depending on seniority, plus €2,000 welfare. The position includes competitive welfare provisions, flexible working policies, relocation support, and potential tax benefits for researchers moving to Italy.

What's required

A PhD in machine learning, computer science, or a related discipline is required. Applicants should have strong programming and data handling skills, including git and HPC environments, and fluency in English. Preferred experience includes machine learning applied to spatial transcriptomics and/or digital pathology datasets, image registration, multimodal modelling of images and text, and prior impactful publications in a relevant field. Candidates should also be self-motivated, collaborative, and able to work independently.

How to apply

Submit a CV, a motivation letter in English, and contact details of two referees through the employer’s website/application portal. Apply before 15 September 2026.

More information can be found here

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