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community college in the Minnesota State Colleges and Universities system. To learn more about our strategic vision, visit http://www.normandale.edu/Normandale2020. Connections working at Normandale Community
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models when faced with data drift, bias, and fairness challenges. The research will involve developing deep learning and synthetic data generation approaches and applying them to exemplar studies in
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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comparison to my peers. I am proficient in written and spoken English. During my courses or prior professional activities, I have gathered experience with machine/deep learning, and can demonstrate a strong
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-design. Experience with hardware acceleration (FPGAs, GPUs, SoCs) and low-power design. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. Ability to work in an
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offers exceptional opportunities for students to learn from international executives, scholars, and influential thinkers. Graduates join a global network of highly-placed fellow alumni, and in the process
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practices. Attend lab meetings, seminars, and participate in departmental and university activities as appropriate. Other Duties as Assigned 5% Qualifications Core Knowledge and Abilities Deep expertise in
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qualifications: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be
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: cumulatively or alternatively: a) Experience and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information to be provided in
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data processing under redundancy / low-latency requirements. Minimum Job Qualifications Bachelor?s degree required. 1 year of relevant experience required. Deep machine learning & AI skills