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contributes to the development and operation of CMOS bioelectronics and biosensors at ETH IDEAS group. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity
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properties. In parallel, they continuously sense and respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues
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10 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Biology Biological sciences » Other Physics » Biophysics Technology » Biotechnology Researcher
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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targets an order-of-magnitude improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. chevron_right Working, teaching and