ppBuild the science that shapes the future of human health. /ppApplication closing date: /ppJoin a place where ambitious science thrives /ppHuman Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. /ppWithin this mission, the Glastonbury Group uses machine learning applied to large-scale digital pathology and spatial transcriptomics datasets generated in-house to understand the molecular basis of specific pathologies and the genetic basis of multiple, complex diseases. /ppWe are seeking an ambitious Postdoc with expertise in machine learning, computational imaging and/or spatial transcriptomics to develop novel approaches for the quantitative analysis of neuropathology across a unique collection of approximately 30,000 whole-slide images (HE, IHC) from individuals with Alzheimer’s disease, related dementias and controls. /ppThe successful candidate will join the Scientific AI Flagship Research Programme, working at the intersection of machine learning, pathology, and genomics to study brain pathology through multimodal data integration, including tissue imaging, spatial transcriptomics, neuropathology reports, and genomic data. /ppThis project offers a unique opportunity to build computational frameworks that connect tissue morphology, molecular state, clinical pathology and genetic risk across neurodegenerative diseases. The candidate will have the ability to work on several different digital pathology and spatial transcriptomics projects taking place in the group. /ph3Grow Your Skills /h3pYou will enhance your scientific and professional skills by working with: /pulliLarge-scale whole slide imaging (WSI) histology datasets (HE, IHC) /liliSpatial transcriptomics /liliHuman genetics data (WGS)

/liliText based pathology reports /liliCutting edge ML approaches in self-supervised learning, foundation models, etc. /liliBe part of a wider AI community, specifically the multimodal AI flagship project taking place at HT /li /ulpHuman Technopole also supports career development through training, mentoring and dedicated learning opportunities. /ph3What You’ll Bring /h3pbEssential /b /pulliA PhD in machine learning / computer science or a related discipline. /liliStrong programming and data handling skills (e.g. git, HPC environments, etc) /liliFluency in English /li /ulpbPreferred /b /pulliMachine learning experience applied to spatial transcriptomics and/or digital pathology datasets /liliExperience in image registration, multimodal modelling (images, text) /liliPrior impactful publications in a relevant field /li /ulpbOrganisational and social skills /b /pulliSelf-motivated, able to work independently and organize own workload /liliEnthusiastic team player and able to work collaboratively and across different disciplines. /liliStrong problem-solving abilities. /liliNetworking and public speaking proficiency. /liliAbility to evaluate research findings, troubleshoot technical issues, and draw meaningful conclusions. /li /ulh3Why Human Technopole /h3pHT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may vantaggi from attractive tax benefits. We promote work–life balance and provide parental support initiatives. /ppThis is a 4‑year contract offered under CCNL Chimico Farmaceutico, Level B2 /ppSalary: up to € 43.000,00 depending on the candidate’ seniority + €2.000 welfare /ppThe position is based in Milan, Italy, within our vibrant international campus. /ppWe strongly encourage applications from candidates belonging to protected categories (L. 68/99). /p /p #J-18808-Ljbffr

Postdoc Glastonbury Lab - Flagship Research Program Scientific AI

CAMERIERA/E AI PIANI

Addetto Controllo Accessi – Accoglienza e Coordinazione

Ricevi nuove offerte di lavoro

Addetto/a mensa

Ottico Esperto: Crescita in Team