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) invites applications for a PhD position in experimental nuclear physics. The successful applicant will contribute to hardware and analysis development for the ePIC experiment at the electron-ion collider
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technology or related subjects experience with data acquisition systems for nuclear and particle physics advanced knowledge of FPGA development (VHDL/Verilog) and hardware-oriented programming (C/C++) confident handling
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
), including the use of HPC clusters Programming skills in data processing and hardware control (e.g. Python, Labview, Matlab, C++) Project management experience: setting goals, prioritising tasks, and meeting
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from sensor data Design, integration, and validation of hardware-oriented demonstrators, measurement systems, and experimental test platforms Planning, execution, and evaluation of experiments
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involving Prof. Dr. Michael Bader (TUM CIT, Hardware-aware algorithms for HPC) , Prof. Dr. Felix Dietrich (TUM CIT, Physics-enhanced Machine Learning) , and Prof. Dr. Hartwig Anzt (TUM CIT, Computational
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group investigates the mathematical foundations of programming and automated reasoning about software. Our research spans programming languages and type systems, program analysis and verification, logic
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Model. In parallel, the group is engaged in hardware activities related to the development and implementation of new FPGA-based trigger processors, both for the operation of the ATLAS muon spectrometer
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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functionality and control product assurance of control electronics of the BECCAL laser system in interaction with flight hardware - evaluate FPGA-development according to current scientific state of the art
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techniques, automation workflows, and data-driven methodologies through open-source software and hardware development. Current activities include autonomous experimentation, robotic synthesis platforms, high