# Postdoc at Humanitas University, Milan, Italy

**URL:** <https://discourse.mc-stan.org/t/postdoc-at-humanitas-university-milan-italy/30074>\
**Category:** Jobs\
**Created:** [January 16, 2023, 9:35am UTC](https://discourse.mc-stan.org/t/postdoc-at-humanitas-university-milan-italy/30074 "2023-01-16T09:35:23Z")\
**Posts on this page:** 1\
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**Author:** ![slrenne](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.mc-stan.org/slrenne/32/15660_2.png) [@slrenne](https://discourse.mc-stan.org/u/slrenne)\
**Post date:** [January 16, 2023, 9:35am UTC](https://discourse.mc-stan.org/t/postdoc-at-humanitas-university-milan-italy/30074/1 "2023-01-16T09:35:23Z")

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**POSTDOCTORAL POSITION**  
Commitment & contract: 3 years term contract.  
Location: IRCCS Humanitas Research Hospital, Rozzano, Milan, ITALY – Humanitas University.  
Starting date: May 2023.

**WHO WE ARE**  
reSeARChOMA (research in SARCOMA) Group a multidisciplinary translational team composed by Clinicians and Researchers of Humanitas Research Hospital and Humanitas University devoted to research in Sarcoma. We address a broad set of questions related to predictive markers, pharmacogenomics, and therapy response. Humanitas grants access to state-of-the-art research and top-notch support core facilities and attracts talented international scientists from across the world.

**PROJECT DESCRIPTION**  
We are committed to study sarcoma microenvironment (SME) and its interaction with tumor cells to develop – and to clinically validate – a predictive and prognostic score, combining artificial Intelligence and high throughput techniques. The project will require the application of state-of-the-art statistical and machine learning approaches, image analysis skills and their further development to address the unique complexities of the data.

The applicant is expected to:

- Have a PhD in Computer Science, Computer Engineering or in related disciplines (such as Computational Biology, Bioinformatics, Systems Biology, Mathematical biology);
- Have excellent communication, organizational and writing skills in English;
- Be motivated and independent, while being able to interact effectively with other members of the team.

Required skills

- Statistical modeling and machine learning (Stan or PyMC3 or similar);
- Programming (R or Python).

Desirable skills

- Digital image analysis;
- Causal Inference.

**OFFER**  
We offer you a financial support for at least 3 years. You will be assisted in applying for personal fellowships during this time (Marie-Curie, HFSP, EMBO, National funding organizations). You will access to state-of-the-art infrastructure and core computing and experimental facilities in a vibrant,  
world-class research environment operating at an international level. Dedicated training programs available through Humanitas University to broaden your expertise and enhance your skill set. You will find a stimulating and international research environment, a strong and dynamic network of international collaborators and – as part of the reSeARChOMA Group – you will benefit from established collaborations and access to centralized facilities with expertise in genomics cell biology, proteomics, cutting-edge microscopy, structural biology, technology development, and bioinformatics.

**APPLY**  
Deadline: 28/02/2023  
Please send your CV with a short motivation letter stating why and how you match the project description and the requirements given above to salvatore.renne[at]hunimed.eu with the subject line marked with [SMS-PROJECT].