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Field
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for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include: • Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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-sensing concrete. Lab test and analysis of self-sensing concrete. Optimize and evaluate the performance for field trials. Publish several papers in top journals. Write proposals for further development
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insulation systems. Implementation of simulation routines that allow for variable façade U-values based on local climate. Optimize the modular panel’s geometry to incorporate an air gap and any necessary
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nitrogen-rich fertilizer essential for optimizing crop yields and sustaining global food production. Currently, urea is predominantly synthesized through the Bosch-Meiser industrial process, which relies
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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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antibiotic activity against clinically relevant bacterial pathogens, optimizing in vitro assays, and assessing lead compounds in preclinical infection models. A major focus will be developing and applying in
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will