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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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, Python, CUDA o Open CL) -Manejo de sistema operativo Linux • Proficiency with mathematical software tools such as MATLAB • Strong programming skills (proven experience with programming languages such as
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information about the lab check out: https://www.moorelabstanford.com/ . About the role: The role will be in-person with hybrid flexibility and is a perfect opportunity for someone looking for a 1-year, fixed
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with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer
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and oral communication skills good ability to cooperate good knowledge of English, spoken and written C/C++ and GPU programming experience (CUDA, DX, Vulkan) Other qualifications For the doctoral
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, resource requests, and environment management. Desired Requirements: 1. Probabilistic modeling: scVI/scANVI/totalVI for RNA and RNA+protein integration. 2. GPU experience: PyTorch/CUDA for segmentation/model
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kinetic PDE theory and numerical analysis is highly desirable. Any knowledge of CUDA programming is welcome. Key Duties and Responsibilities Conduct and disseminate original research aligned with
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development tasks will be helpful as well. This includes knowledge of one or more of the following: PyTorch, CUDA, MCP (or any other AI/ML tools) as well as Docker, Kubernetes, PHP, Web Services, Database