APPLICATION CLOSING DATE: July 12th,2024 Human Technopole (HT) is an interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable interdisciplinary research and to create an open, collaborative environment that will help promote life science research both nationally and internationally.
Human Technopole is looking for a Postdoc in Machine Learning, at the Centre of Genomics in the research group of Craig Glastonbury.The post holder will be responsible for leading large-scale digital pathology, spatial transcriptomic and genetic analyses spanning multiple diseases.
About the lab: The Glastonbury Labis focused on developing and applying Machine Learning to problems in digital pathology and spatial transcriptomics. The group has a particular focus on large-scale biobank imaging and histopathology in a range of diseases (example publications: 1, 2 & 3). The labwelcomes applicants with interests in any of the following areas: Supervised, Semi-supervised and unsupervised representation learning, machine learning method development and in particular, applicants with experience in digital pathology. Applications from underrepresented minorities are particularly encouraged to apply.
Mandatory requirements: PhD in Computational Biology, Machine Learning, Mathematics or similar (to be obtained max. within 6 months from the closure of this call). Fluency in English – HT is an international research institute. Preferred requirements: Direct experience in digital pathology, spatial transcriptomics or ML applied to either. Strong programming skills in at list one language (Python, R, etc). Experience in any of these areas: Machine learning in general, Deep learning applied to healthcare, medical imaging, Electronic Healthcare Records, Genomic applications (a large plus), Bayesian/Probabilistic method development. Experience or interest in learning git and other software development practices. Organizational and social skills:
Collaborative and kind personality. A willingness to help more junior members of the team grow. Ability to manage competing priorities in a fast-paced environment and to work independently. Ability to build trust through operating with transparency and creating an open and positive environment. Ability to work in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity. Application Instructions To apply, please send the following:
a CV.a motivation letter in English relating your track record to the specifics of the call.names and contacts of 2 referees. Why Human Technopole: HT seeksscientific excellence, we recruit the best scientific talents through international, open calls.
Our working environment isinternational,friendlyandinclusive. Our scientistswork together across disciplineson research topics of biomedical relevance,leveraging synergiesbetween their diverse skillsets and methodological approaches.
We believe thathighly diverse teams yield the best and most innovative results.
We engage inoutward-facing scientific activitiesaimed at benefiting the national and internationalresearch community.Training is also at the heart of our activity, with initiatives and opportunities for our staff, including scientific courses, conferences and workshops.
Main benefits Welfare plans.Canteen service.Work-life balance provisions.Italian language training for foreigners.Parental leave up to 1 year and other support for new parents.Counseling.Flexible working hours.Remote working policy.Support for relocation.Researchers coming to Italy for the first time, or returning after residing abroad, benefit from very attractive income tax benefits. Special consideration will be given to candidates who are part of the protected categories list, according to L. 68/99. The position is based inMilan
Number of positions offered:1
Contract offered: CCNL Chimico Farmaceutico, Fixed-term 4 years - employee level.
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