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NIFA supports research, educational, and extension efforts in a wide range of scientific fields related to agricultural and behavioral sciences. In all of these areas, you will find NIFA working in pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze...
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
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The Japan Society for the Promotion of Science (JSPS) has established the JSPS Postdoctoral Fellowships for Research in Japan – Short-term program. A limited number of promising early career
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The Japan Society for the Promotion of Science (JSPS) has established the JSPS Postdoctoral Fellowships for Research in Japan – Standard program. A limited number of promising early career
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The University of Toronto's Provost’s Postdoctoral Fellowship Program is available to engage seven Indigenous and/or Black postdoctoral researchers annually. Each award will provide $70,000 per year
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
, preparing risk analysis reports for the Swedish Radiation Safety Authority (SSM), and contributing to the development of related software tools. We are seeking a candidate with strong scientific computing
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work independently on complex projects. Experience and Education Master’s degree in Software and Computer Engineering (French engineering schools are preferred). Experience in optimizing ML algorithms
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Applications are now open for the NOMIS–Gladstone Fellowship Program at the Gladstone Institute of Neurological Disease (GIND). Applications reviewed on a rolling basis. This interdisciplinary
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collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond