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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
peptides capable of reducing the impact of stress factors and improving production efficiency from the early stages of fish development. The FORTIFISH functional solution aims to optimize animal welfare and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
of optimizing both accuracy and computational cost. The question of methodologies for validating results and quantifying uncertainty—critical in an industrial environment—will also be addressed. Two industrial
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design workflows. • Analysis of antibody-antigen interactions to guide antigen optimization and vaccine development. The exact project will be tailored to the interests and background of the successful
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your experimental skills to provide understanding of complex multi-phase phenomena and optimize industrial processes. With your pioneering mindset and hands-on experimental experience, you will be able
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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influenced by optimal training and technique in both a sport and health perspective as well as in rehabilitation of patients. The department's activities take place in "state of the art" laboratories, equipped
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. These simulations are essential for optimizing the design and placement of wind turbines in complex terrains. Multiscale approaches utilize advanced computational techniques, including nested grids and adaptive mesh
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will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control. Through
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transient industrial processes. Advanced dynamic models will be developed to simulate system performance, optimize control strategies, and evaluate system response under realistic operating scenarios
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid