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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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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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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
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science, pharmacology, biomedicine or related fields Demonstrated expertise in computational modelling Experience with molecular dynamics Interest in interdisciplinary science Experience in working on High-Performance
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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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, 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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enabling trustworthy AI adoption through methods and tools for compliance, readiness, and performance evaluation. In the field of Smart Cities, we lead the operations of the CitCom.ai project. CitCom.ai is
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maintain scalable and high-performance software solutions Implement frontend applications using a modern JavaScript framework (React or Vue.js) Containerize applications using Docker for consistency across
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Europe, and contributing to innovations that enhance healthcare and medical research. As part of the IDERHA development team, you will: Design, develop, and maintain scalable and high-performance software