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SPECIFICS The College of Information Sciences and Technology (IST), https://ist.psu.edu/ , at Penn State invites applications for the position of its inaugural Quantum Frontiers Postdoctoral Scholar
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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algorithms. model and optimize end-to-end physical-layer performance, hardware non-idealities, and overall power consumption. focus primarily on space and security topics (satellite communications, reliable
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
our website: https://www.list.lu/ How will you contribute? You will contribute to the ENERGY-RESILIENT-UA project, which aims to support vulnerable communities in Ukraine through resilient, low-carbon
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
Website https://idibgi.org/treball/idibgi-pf1_position-2/ Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications Soft Skills and Dissemination Proven capacity
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) models with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive
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Description The University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) -- https://www.hajim.rochester.edu/dsc/index.html -- invites applications
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Apply Now How to Apply Apply through http://careers.umich.edu/ (click on "APPLY NOW" box on the upper right corner of this page). Applications will only be accepted from CECS graduate students
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance