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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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supervision. Develop and optimize instrument methodologies and data analysis. Disseminate findings via presentations and peer-reviewed publications. Work with colleagues in the development of joint research
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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system. You also possess: a PhD in Cell Biology, Biotechnology, Biomedical Engineering, or related fields (essential); strong background in animal cell culture development and optimization (essential
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Dr. Shin is seeking a PhD post-doctoral fellow for the project, which is VA merit grant funded, entitled “Role of ATRX, a chromatin remodeler
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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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Prepare and submit proposals for high-performance computing (HPC) resources and manage allocated compute efficiently. Optimize training pipelines for scalability and reproducibility. Contribute to group