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- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- CIC energiGUNE
- Computer Vision Center
- Institute for bioengineering of Catalonia, IBEC
- Instituto de Neurociencias de Alicante, CSIC-UMH
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Pompeu Fabra - Department / School of Engineering
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Field
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, computer science, bioengineering, data science, or a closely related discipline. • Demonstrate advanced proficiency in artificial intelligence and machine learning, particularly in applications involving
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, required to adequately incorporate molecular data, and model regulations of inflammatory and degenerative processes. Available datasets at the molecular level will be incorporated through machine learning
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning