{"id":131792,"date":"2023-03-15T03:00:33","date_gmt":"2023-03-15T02:00:33","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=131792"},"modified":"2023-03-14T13:13:35","modified_gmt":"2023-03-14T12:13:35","slug":"tenure-track-position-for-a-researcher-in-artificial-intelligence-models-for-precision-medicine-in-italy","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/tenure-track-position-for-a-researcher-in-artificial-intelligence-models-for-precision-medicine-in-italy\/","title":{"rendered":"Tenure Track position for a Researcher in Artificial Intelligence models for Precision Medicine in Italy"},"content":{"rendered":"

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Offer Description<\/h3>\n
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The Bruno Kessler Foundation<\/a>\u00a0(FBK) conducts research activities in Information Technology, Materials and Microsystems, Theoretical Physics, Mathematics, Italian-Germanic historical studies, Religious studies and International Relations. Through its network, it also develops research in the fields of international relationships, conflict causes and effects, European economic institutions, behavioral economics and evaluative assessment of public policies.<\/p>\n

The\u00a0<\/a>\u00a0Digital Health & Wellbeing Center<\/a>\u00a0is one of the Centers of the Bruno Kessler Foundation (FBK). The activities of the Center for Digital Health & Wellbeing mainly concern scientific research of excellence in the field of Computer Science and AI techniques and methodologies for health and healthcare, as well as social and technological innovation for a relevant impact on both the local community and nationally and internationally.<\/p>\n

The candidate will use statistical machine learning algorithms, both shallow and deep, to develop, optimize, implement, apply, and validate predictive models for the life science,\u00a0 \u2013 in particular in the health domain. Training data will consist of EHRs, PGHD, different levels of omics data, biomedical images and digital pathology WSIs provided by the collaborating labs. Particular attention will be devoted to the reproducibility of the methodology, the interpretability of the algorithm(s), the data integration and the translatability of the models into clinical support tools.<\/p>\n

Main Tasks<\/strong><\/h3>\n

\u25cf Identify and discuss with the partners the diagnostic\/prognostic tasks.<\/p>\n

\u25cf Organize, clean, and prepare the provided data.<\/p>\n

\u25cf Follow all the steps of a learning pipeline using the available data to tackle the task of<\/p>\n

interest.<\/p>\n

\u25cf Implement and validate the solution on a computational infrastructure.<\/p>\n

\u25cf Discuss the solution with the collaborating partners.<\/p>\n

\u25cf Disseminate the findings on scientific papers and talks.<\/p>\n

\u25cf Help supervising B.Sc, M.Sc. and Ph.D. students.<\/p>\n

\u25cf Help writing grants and projects.<\/p>\n

\u25cf Help manage research projects.<\/p>\n

The Ideal Candidate shall have:<\/strong><\/h3>\n

\u25cf PhD Degree in Mathematics, Physics, or related fields.<\/p>\n

\u25cf Research experience in the field of Statistics, Machine Learning, both supervised and<\/p>\n

unsupervised, deep learning and Mathematical Modeling.<\/p>\n

\u25cf Solid knowledge in bioimages processing and experience in medical data preprocessing<\/p>\n

and cleaning, including neural data, CT\/PET scans, MRI scans, histology data, omics data, electronic health records, electronic case report forms<\/p>\n

\u25cf Research experience in model implementation in Python, in-depth knowledge of the<\/p>\n

PyTorch, or Tensorflow and Keras interfaces for deep learning would be a plus; –<\/p>\n

\u25cf Established publication record in international peer-reviewed journals and established<\/p>\n

record of poster\/oral presentations in international conferences.<\/p>\n

\u25cf Time management,planning, and development skills. Accuracy, flexibility, proactivity, and goal orientation.<\/p>\n

\u25cf Teamwork approach, good communication and relational skills.<\/p>\n

Additional skills:<\/strong><\/h3>\n

\u25cf Ability to build graphical interfaces and knowledge of the basics of data visualization.<\/p>\n

\u25cf Knowledge of model implementation on HPC solutions and basic knowledge of the R<\/p>\n

language and of the Matlab framework.<\/p>\n

Benefits<\/strong><\/h3>\n

Gross annual salary: about 41.400,00 \u20ac, plus objectives achievement bonus.<\/p>\n<\/div>\n

Organisation\/Company<\/h3>\n
Fondazione Bruno Kessler<\/div>\n

Research Field<\/h3>\n
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Physics \u00bb Mathematical physics<\/div>\n<\/div>\n

Researcher Profile<\/h3>\n
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Established Researcher (R3)<\/div>\n<\/div>\n

Country<\/h3>\n
Italy<\/div>\n

Deadline<\/h3>\n