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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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. The candidate is expected to develop technologies that bring new resolution, accuracy, throughput, or analytical concepts to biological phenomena that have been difficult to capture using existing methods. We
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from among these broad research areas. Their work will focus primarily on modeling, numerical evaluation, and characterization of the proposed systems and methods. Depending on the research topic
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, advanced analytics and cutting-edge -omics technologies, and apply state-of-the art methods in transcriptomics, biochemistry, fluorescence and cryo-electron tomography to illuminate the biology of RNA and
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measures that promote a gender-balanced, diverse, and inclusive academic community, recognizing this as a key element for innovation and academic excellence at the Facultad de Ciencias. The Facultad de
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, and validate methods for deriving embeddings, latent variables, scores, and other quantitative representations of multivariate traits, such as multicellular programmes, disease trajectories
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. Excellent teamwork skills. Ability to write clear technical documentation for both technical and non-technical users. Interest in biomedical research and in the translation of AI methods into tools that can
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, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) or to be obtained within the next 6 months; A sound understanding of applying relevant statistical methods to highly