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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
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-resolution live-cell imaging and quantitative microscopy to dissect these mechanisms at the molecular level. We are offering a 6-month full-time internship for a highly motivated second-year Master’s student
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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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the interaction between network exposure and resource allocation. In this context, your main focus will be to: - Investigate network exposure mechanisms related to 5G core network functions and network
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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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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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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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, 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