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Postdoctoral Position in Multimodal & Generative AI for Biomedical Imaging and Genetics
For the Italian Institute of Technology (IIT) , we are looking for a PhD holder with advanced expertise in Machine Learning and Computer Vision to join the Artificial Intelligence for Good (AIGO) research group and work on multimodal and generative models for biomedical imaging, with the goal of predicting genetic information and clinical risk from medical images.
Keep reading if you:
Hold a PhD in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Engineering, Physics, Mathematics, or a related field
Have a strong research background in Machine Learning, Deep Learning and Computer Vision, preferably applied to medical/biomedical imaging or other scientific domains
Have worked with multimodal models or approaches integrating images with structured, biological, clinical or genetic data
Have published research in Machine Learning, Deep Learning and/or Computer Vision journals and conferences
This position may not be for you if you:
Are looking for a permanent position
Come from a genetics or genomics background but have never worked with Deep Learning models
Have mainly used existing Machine Learning or Deep Learning models as ready-made tools, without being directly involved in their development, training or adaptation to complex scientific problems
Who you will be working with
The selected candidate will join the Italian Institute of Technology (IIT) , a research institution established to promote technological development and advanced scientific training in Italy.
The position is within the Artificial Intelligence for Good (AIGO) research group, led by Prof. Vittorio Murino , an internationally recognised researcher in Artificial Intelligence.
The group currently includes approximately 25 PhD students, postdoctoral researchers and research scientists. Its research focuses on learning from imperfect data, particularly in multimodal settings, including u
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