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Field
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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optimization tasks at the physical (PHY) and medium access control (MAC) layers, laying the groundwork for compact, locally deployable, and adaptive foundation models capable of sustainably addressing
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research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and
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professional groups work hand in hand to provide our patients with optimal treatment. PhD position / Postdoc position (m/f/d) in Cancer Genomics and Oncogenic Signaling Full- or part-time | temporary (12 month
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
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 The successful
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activity - Conducting catalytic tests (liquid-phase hydrogenation) - Interpreting results to understand reaction pathways and observed phenomena, and proposing practical and effective solutions to optimize
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is offered to an experienced candidate holding a PhD in Chemistry or related areas in the Group of Therapeutic Peptides of the Dept of Inorganic and Organic Chemistry (University of Barcelona
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industry. Our photonics research lab has set modern tools for the design, testing, and optimization of photonic circuits. It is open for collaboration with researchers with a background in basic research
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample