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Human Technopole

Postdoc in Machine Learning, Digital Pathology and Spatial Transcriptomics for Alzheimer’s Research Human Technopole in Italy

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Italy

University

Human Technopole

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Keywords

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

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About this position

Human Technopole in Milan, Italy is recruiting a Postdoc Researcher to work on machine learning, digital pathology, spatial transcriptomics, and multimodal analysis for Alzheimer’s disease and related dementias.

The role sits within the Glastonbury Group and the Scientific AI Flagship Research Programme, focusing on quantitative analysis of neuropathology across a large collection of approximately 30,000 whole-slide images (H&E, IHC). The project integrates tissue imaging, spatial transcriptomics, neuropathology reports, and genomic data to study brain pathology and genetic risk across neurodegenerative diseases.

Applicants should hold a PhD in machine learning, computer science, or a related discipline. Strong programming and data handling skills are required, along with fluency in English. Preferred experience includes spatial transcriptomics, digital pathology, image registration, multimodal modelling, and relevant publications.

The position is a 4-year contract with a salary of up to €43,000 depending on seniority, plus €2,000 welfare. Human Technopole also highlights flexible working, relocation support, career development, and an international research environment.

To apply, submit a CV, a motivation letter in English, and the contact details of two referees.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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