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for computational efficiency, ensuring scalability to large-scale datasets, and their performance will be analyzed. The project will explore applications in smart city monitoring, an area where the team has
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recently identified a critical role for actin remodeling in tumor cell resistance at the immunological synapse, the dynamic interface between cytotoxic lymphocytes and cancer cells. Our group applies high
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to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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Full-Stack Developer, you will: Design, develop, and maintain scalable and high-performance software solutions Implement frontend applications using a modern JavaScript framework (React or Vue.js
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, that leverage high-performance computing power, to develop advanced tools. The successful candidate will be expected to develop machine learning methods that integrate physical understanding, to address
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, including the development and use of 3D models and the study of extracellular vesicles Analyze high-throughput data sets using R or similar software Present research findings in meetings Document performed
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to pilot and demonstrator levels, particularly for polymeric and functional materials. Perform key parameter calculations (e.g., heat/mass transfer, mixing, kinetics) to guide scale-up decisions. Design, set
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objective function (eg, approximation error). A key question is to devise an algorithm that organizes the operators into a sequence, such that the best operators (low cost and high benefits) are performed
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trauma surgery, affecting approximately 10.3 individuals* per 100,000 inhabitants each year [1]. They represent a significant public health issue due to the high costs associated with dependency and