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: ). Your profile Core qualifications: PhD in relevant domains including Artificial Intelligence, Machine Learning, Deep Learning, or High-Performance Computing Strong programming skills in Python
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the advancement of our research programs. This position is ideal for individuals with a strong background in bioinformatics and hands-on experience with cloud computing and complex biological data. Key
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complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging
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computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks
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online. Essential attributes: Experience of fundamental software design and development Competent in development of cloud and edge computing services and/or apps Knowledge of Cyber Physical Systems or
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degree (and a PhD) in computer science, software engineering, data science or a related field At least a few years of industry experience in software engineering, data engineering, scientific computing
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welcome applications from candidates with expertise in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing or related Computer Science disciplines, and with experience in applying
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, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or
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, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital construction, digital twins, AI and machine learning, cloud computing, IoT integration, or
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also