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Representations, 2019. [6] Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, and Juan Li. Incentive mechanisms for federated learning: From economic and game theoretic perspective. arXiv preprint
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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In cancer as well as chronic infections, T cells are exposed to persistent antigens and acquire a dysfunctional gene expression program which includes high expression of the inhibitory receptor
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not only flows from the auditory periphery to the central nervous system but also from the brain to the ear. As a result, efferent neuronal signals can modulate the mechanical properties of the cochlea
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generate massive phenotypic datasets. We will analyze these data using deep learning to identify novel antibiotic candidates and predict their mechanisms of action. This pipeline will allow us to explore new
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, are discriminant). In particular, point i) undermines most of the recent deep learning machinery used for shapes classification [e.g. PointNet Qi et al., 2017], even if one wished to adopt them for simple feature
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, which performs numerical analytics during the simulation. This is necessary due to the ever-growing gap between file system bandwidth and compute capacities. To this end, we are developing the Deisa
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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mechanisms that could constitute relevant targets for new treatments. We are leading the genetic work package of AIMS-2-TRIALS, the largest European project on autism research. The project is focused on deep