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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific computing Excellent programming skills (e.g., Python, C/C++, Julia
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support Health & well-being: Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job Work on a wide range of computer vision and machine learning methods and applications focusing
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of Machine Learning. You will connect to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Particle Physics etc. You will be
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
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science, computational neuroscience and causal AI. You will collaborate with internationally recognized researchers and contribute to developing novel methods for understanding brain dynamics. The current
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and