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wide range of markets such as automotive, industrial and aerospace. The research focus is design and implementation of a high performance frequency upconverter in 22-nm FDSOI CMOS technology targeting D
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satellite remote sensing applications with large-scale AI, high-performance and innovative computing. You will focus on the deployment, operation, and scaling of AI inference services for Earth observation
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Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 25 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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The German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE) is a member of the Leibniz Association. The institute’s mission is to conduct experimental and clinical research in the field
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digitalization team of the departments »High performance materials « and »Modular production machines «, we deal with the development of the control software of production machines and data-driven optimization
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plus) Knowledge of Rust for high-performance computing applications (advantageous) Solid understanding of deep learning fundamentals Strong data engineering skills in Python, including proficiency with
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-of-the-art methods of High Performance Computing (HPC) Your profile Recruitment requirement ? Completed PhD degree, in particular in the subject areas of computational engineering or computational physics
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: You receive tandem solar cells from a partner institute and perform high throughput degradation and characterization Development of existing predictive models with respect to prediction of time series
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methods using state-of-the-art methods of High Performance Computing (HPC) Your profile: Recruitment requirement Completed PhD degree, in particular in the subject areas of computational engineering or
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Hereon in Geesthacht, near Hamburg operates the German Engineering Materials Science Centre (GEMS), a centre for synchrotron and neutron radiation materials research. Currently Helmholtz-Zentrum Hereon is