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strategies to produce oligonucleotides. This research involves process optimization, scale up and optimization of biocatalyst properties using directed evolution to make them suitable for pharmaceutical
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in epitaxial growth, reactor operation, and parameter optimization, as well as a keen interest in associated characterization techniques. Through the expected publication of the results in
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Paulo state, Brazil, in the area of compilers, runtimes, and High-Performance Computing, focusing on the convergence of HPC and Artificial Intelligence. The project will develop runtime optimizations and
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mechanics, aerospace structures, laminated composite materials, computational mechanics, machine components design, aerodynamics, computational fluid dynamics, aircraft design and aircraft optimal design. To
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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specializes in web content and AI, developing and implementing strategies that optimize digital experiences and leverage AI for personalization and efficiency. This role combines creative storytelling with data
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of the "glue" that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized RHIC Ion-Ion collider. It will consist of two intersecting
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the key electromagnetic coupling effects between layers and enables fast prediction of their tunable response without relying solely on full-wave simulations. To create efficient adjoint-based optimization
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institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Computer Vision offers two full-time positions as Research Associate / PhD Student (m/f/x
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. Scientifically contribute to the preparation of manuscripts and proposals. Process analyzed data into figures for scientific publications. Order equipment and supplies, interface with vendors. Other duties as