1,559 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions in Germany
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena is a federal
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, an exciting project at the intersection of design computation, AI, and robotic fabrication. The position is expected to start in August 2025, or as mutually agreed. The position is located at the Professorship
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A229-25 Is the Job related to staff position within a Research Infrastructure? No Offer
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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times through higher parallelization and enable targeted stimulation of hardware faults by adjusting the models. To this end, a simulation environment based on a virtual prototype will be developed using
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Germany Application Deadline 21 Sep 2025 - 21:59 (UTC) 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
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is