Postdoctoral Position in Machine Learning: Human Technopole, an interdisciplinary life science research institute in Milan, Italy, is seeking a talented Postdoctoral Researcher in Machine Learning to join the Centre of Genomics in the research group of Craig Glastonbury. The successful candidate will lead large-scale digital pathology, spatial transcriptomic, and genetic analyses across multiple diseases.
Designation: Postdoctoral Researcher in Machine Learning
Research Area: Genomics, Digital Pathology, Spatial Transcriptomics, Machine Learning
Location: Milan, Lombardia, Italy
Eligibility/Qualifications:
- PhD in Computational Biology, Machine Learning, Mathematics, or similar (to be obtained within 6 months from the application deadline)
- Fluency in English
- Direct experience in digital pathology, spatial transcriptomics, or machine learning applied to healthcare
- Strong programming skills in at least one language (e.g., Python, R)
- Experience in machine learning, deep learning applied to healthcare, medical imaging, electronic healthcare records, genomic applications (highly advantageous), Bayesian/probabilistic method development
- Interest in learning git and other software development practices
- Collaborative and kind personality with a willingness to help more junior members of the team grow
- Ability to manage competing priorities in a fast-paced environment and work independently
- Ability to build trust through transparency and create an open and positive environment
- Ability to work in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity
Job Description:
The post holder will be responsible for leading large-scale digital pathology, spatial transcriptomic, and genetic analyses spanning multiple diseases. The Glastonbury Lab is focused on developing and applying Machine Learning to problems in digital pathology and spatial transcriptomics, with a particular focus on large-scale biobank imaging and histopathology in a range of diseases. Applications from underrepresented minorities are particularly encouraged to apply.
How to Apply:
To apply, interested candidates should submit the following:
- A CV
- A motivation letter in English relating their track record to the specifics of the call
- Names and contacts of 2 referees
Last Date for Apply: October 15th, 2024
Note: Human Technopole offers an international, friendly, and inclusive working environment with benefits including welfare plans, canteen service, work-life balance provisions, Italian language training for foreigners, parental leave support, counseling, flexible working hours, remote working policy, and support for relocation.
