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instrumentation is highly desirable Experience with detector systems, motion systems, and experimental hardware is advantageous Knowledge of catalysis, energy materials, or hydrogen technologies is beneficial but
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of experience-dependent behavioral change Readiness to contribute to task development (e.g., scanner-compatible hardware) Experience in conducting and analyzing cognitive neuroscience experiments Knowledge and
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. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
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environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD
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wall-clock time on available hardware. Thirdly, the quest of generality, namely the ability to simulate a variety of flows within a single software package has been a target in the development
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optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware
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the full technology stack from the ground up: hardware infrastructure (CMOS backplane, OLED frontplane, PCBs) as well as the accompanying software ecosystem (microcontroller firmware, driver libraries, and
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 15 days ago
, for example XMM-Newton, Herschel, SRG/eROSITA, EUCLID, the VLT telescopes (e.g. KMOS, GRAVITY) and Einstein Probe. The MPE High-Energy group, led by Prof. K. Nandra, carries out major space hardware programs
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well as the hardware of the robots. Be part of change Since these outdoor applications have constantly changing environments due to weather conditions, seasonal variations, new constructions, and dynamic obstacles
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well as the hardware of the robots. Be part of change Autonomous navigation in dynamic environments and higher speeds create challenges to typical mobile robots. To ensure safe and efficient path planning the robot must