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Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227389 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about
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11 Mar 2026 Job Information Organisation/Company cellumation GmbH Department HR Research Field Engineering » Computer engineering Engineering » Mechanical engineering Researcher Profile First Stage
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
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, as a doctoral researcher, will: Explore energy–delay efficient unconventional computing architectures through both simulation and experimental prototyping Perform iterative hardware–algorithm co-design
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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that multi-billion parameter models run on hardware hospitals can actually afford Your Profile - Completed university degree (Master or equivalent) in computer science, mathematics, physics, medical
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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and hardware for future neuromorphic systems. You will also gain profound experience in research-software engineering by actively participating in the developer community of the leading simulation code
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
well as experience in computer vision and machine learning. Your tasks will be to: Develop and enhance capture systems, which include creating the hardware system and study design. Data collection using the developed