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Field
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decision is made. Demonstrated scientific excellence and outstanding academic track record. Strong background in wireless communications, signal processing and optimization techniques. Demonstrated
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-specific reasoning behavior Comparison and development of RL training approaches Calibration, abstention, and safety-aware optimization Clinical Evaluation and Safety Evaluation of oncology reasoning models
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you will do work with plants and viruses and to perform disease assays; employ an optimized proteomics method that uses cross-linking and affinity purification to determine the RNA-binding proteome
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, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
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characterization and iterative optimization to enhance device performance. The ICube Laboratory (UMR 7357) is a joint research unit under the supervision of the CNRS, the University of Strasbourg, and INSA
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Metasurfaces: • Develop multilayered MSs using FDTD, RCWA, or inverse design methods to achieve broadband achromatic performance (400–700 nm). • Optimize MS geometries for high numerical aperture (NA), wide
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qualitative data (including feedback from pupils and teachers). The goal is to then further optimize the intervention before implementing and evaluating an improved version in a new trial. Within the framework
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, and Sustainable Process Engineering. The researcher will join a multidisciplinary research program aimed at optimizing natural graphite for Li-ion battery applications, developing sustainable
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on vaccine responses will be assessed using the optimal mRNA-LNP formulation defined in Aim 1, with readouts focusing on specific B cell responses and antibody maturation. This project should provide a robust
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases