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Field
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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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analysis for late-stage process chemistry The successful candidate will have the opportunity to design and build next-generation hardware modules that push the boundaries of automated chemistry. You will
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Signal Processing for Detection
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. On the EIC side, the successuful candidate will participate in the detector effort around the Roman pots. IJCLab is involved at various levels in the project, in design, cooling, and electronics testing
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hardware architects to establish how agentic AI and these languages co‑design with heterogeneous HPC systems (CPUs, GPUs, PIM, AI accelerators). Study performance and portability tradeoffs, leveraging
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neuromorphic and energy-efficient hardware architectures. Early concepts – such as Intel's MESO logic gate – illustrate the transformative potential of multiferroic technologies and motivate deeper scientific
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, equipment racks, making electrical connections, connecting gas and liquid supply lines, vacuum systems and associated hardware. Ability/experience in aligning optical systems. Use SolidWorks to design simple
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal processing