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behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end-to-end experimental paradigms, including behavioral training and tracking, multi-Neuropixels
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large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods; Advanced knowledge of large
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one first-author publication, accepted or submitted Experience with machine learning is a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or NextFlow is a plus
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proposals, or open-source software. About the lab and St. Jude: Our lab operates with a mentorship philosophy centered on trust, curiosity, and growth: trainees receive as much guidance and support as needed
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite elements methods Modern machine learning software tools and frameworks Implementation
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Job Description A 2-year postdoctoral researcher position is available at the University of Southern Denmark (SDU) in the Software Engineering section of the Maersk Mc-Kinney Moller Institute (MMMI
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programming languages/software such as MATLAB, Python, R, Stata, as well as GIS applications (e.g., QGIS). Have excellent communication skills in both English and Chinese, in writing and in oral presentations