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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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in geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) and parallel
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Aβ, α-synuclein), we aim to identify the relevant processes and understand the underlying mechanisms. In parallel, the modern approach of targeted protein degradation for fibrillar protein aggregates
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Investigation of learning rules for training networks specifically considering the strong nonlinear dynamics of the neurons Integrated circuit design for the hardware realization of such a network Computational