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Field
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental platforms. Vacation
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. Experience with heterogeneous and parallel computing technologies, programming models, or accelerators, including CPUs, GPUs, FPGAs, and emerging computing technologies. Familiarity with quantum software
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projects, deploying workflows on large-scale computing environments, leveraging ORNL’s Frontier for its dense GPU-based high-performance computing resources to train large GeoAI models. Major Duties
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, e.g., git, automated testing, packaging, documentation and code review. Experience with GPU computing or high-performance computing. Interest or experience in LLMs, tool-using agents, or agentic
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with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
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of computational resources (e.g., GPU servers and related infrastructure). Contributing to student and industry project work, including data preparation, modelling, evaluation, and deployment-related tasks where
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Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear algebra Exploratory data analysis
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Department: Department of Computer Science Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We offer
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. This role is designed for an early-career researcher who recently completed (preferably within the last 10 years) a PhD in biomedical informatics, computing, data science, artificial intelligence, or a
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analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development practices to ensure code quality Experience with computational