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-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical algorithms for systems containing large numbers of lasers and optical modes An important component of
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Modeling and Simulation: Utilizing an in-house simulation code (Python/GPU) based on the Discrete Element Method (DEM). Contributing to model development: integrating new physical building blocks
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OpenCV, GPU-accelerated inference, Docker, and modern software engineering practices. Interest in computational neuroscience, translational research, and cross-species behavioural analysis. Strong
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 18 days ago
conferences and journals on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https
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high-performance GPU cards will be provided to the PhD student to support the development, training, and implementation of machine learning models. Travel and participation costs for project meetings and
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with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
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scientific goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is actively working to foster an equitable and inclusive community. Basic
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experiment or project. ABOUT THE LAB We encourage applicants to read more about our scientific goals on our lab website (https://hscrb.harvard.edu/labs/arlotta-lab/). In addition, the Arlotta lab is
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team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific
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HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific conferences. About You You will be