54 parallel-and-distributed-computing PhD positions at Forschungszentrum Jülich in Germany
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doctoral degree: Outstanding research and computing infrastructures, with one of Europe`s largest supercomputing facilities Comprehensive training courses and individual opportunities for personal and
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Your Job: Optimization of growth processes (Pulsed Laser deposition, sputtering) for memristive oxide heterostructures Characterization of thin films and heterostructures by X-ray diffraction and by in-situ X-ray photoelectron spectroscopy and atomic force microscopy at the Electronic Oxide...
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equipment Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and
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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
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). On this basis you will develop a model that allows an iterative improvement of the design. Your versatile tasks in detail: Development of models to simulate heat and stress distribution in the stack Simulation
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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the field of natural or (industrial) engineering, informatics, or a related field of study Very good knowledge of energy technology, energy economics and energy politics Initial experience in energy system