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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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and Molecular Basis of Animal Biotechnology. Professional Experience: In the production and optimization of food processes. Experience in functions similar to those described will be valued
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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for modeling materials to be printed. - Formulation and DLP printing of GelMA materials loaded with MIL-100 and SBA-15. Optimization of formulation parameters (GelMA concentration, inorganic particle loading
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physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support
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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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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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, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should enable him/her
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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direction and publication. Research activities may include AI-assisted target discovery and biologic design, protein engineering and developability optimization, mechanistic studies in metabolic disease