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. Swinkels, B. Dúzs, O. Skarsetz, K. Nishiyama, A. Walther, "Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation," Advanced Materials, e73669 (2026). W. Chen, R
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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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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
(Germany), which offers a world-leading research environment with access to the latest cutting-edge MRI hardware (incl. a Siemens 9.4T and Prisma 3T for humans as well as a 14.2T small animal system) and
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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meritorious if you have experience with hardware implementation, hardware description languages, and/or FPGA implementation. have experience with side-channel attacks against cryptosystems. are familiar with
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science » Computer architecture Computer science » Computer hardware Computer science » Computer systems Computer science » Programming Researcher Profile First Stage Researcher (R1) Application Deadline 31 Aug 2026
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doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information Quantum computers have grown remarkably fast
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). Participate in grant writing for the addition, upgrade and replacement of CCIC mass spectrometry hardware. Communicate with and promote MS capabilities to Ohio State and national CCIC MS users by email, up
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computing? Then join QuBriC, a pan-European doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information
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architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration between universities in