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tools for LAttice Structures» , funded by the Swiss National Science Foundation, we are opening a postdoctoral position for developing efficient algorithms for the topology optimization of architected
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will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization of single-cell sequencing workflows
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performance of large-scale experiments. LLM post-training and Reinforcement Learning Support SFT, preference optimization, and reinforcement learning workflows. Build and run RL environments for tasks with
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, optimization, and modernization of infrastructure and workflows Support the reliability, scalability, and security of the platform services Profile Bachelor’s or Master’s degree in Computer Science
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data manipulation techniques that exploit optimally the underlying hardware and I/O devices, and we enable new discoveries in scientific domains through automating physical database design and
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, he/she will be responsible for overseeing the in vivo testing, optimization and functional verification of optoelectronic devices based on µLED’s assembled on compliant substrates. The Postdoc will
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is responsible for the design, implementation, operation and continuous improvement of the technical infrastructure supporting the Genome of Switzerland programme. The position ensures the efficient
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, and administrative staff). Lead maintenance, upgrade, and optimal operation of the electron microscopy infrastructure (SEM, TEM, FIB, cryo-EM, etc.). Develop and implement the strategic vision
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The performance of X-ray microscopy has improved significantly over the last decade, enabling synchrotron-based X-ray imaging to resolve individual transistors in modern semiconductor devices. As the industry moves
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The performance of X-ray microscopy has improved significantly over the last decade, enabling synchrotron-based X-ray imaging to resolve individual transistors in modern semiconductor devices. As the industry moves