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Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and present your results at leading international venues
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Associate / Research Engineer II to conduct cutting-edge research and software
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no. 40/2004 of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC and for https://files.dre.pt/2s/2019/12/241000000/0009100105.pdfFCT Grants Regulation in force
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Department of Geosciences and Natural Resource Management and the Department of Computer Sciences at the University of Copenhagen, DHI A/S, and GEUS (The Geological Survey of Denmark and Greenland). The center
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
(videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage According to current regulations: €4.50 per hour Selection
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offering compatibility with large-scale microelectronic manufacturing. Besides integrated photonic circuits, one goal of the project is the design and demonstration of functional optical metasurfaces
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on Software development projects in a database environment Write, test, and debug computer programs and write program documentation utilizing current methods of analysis, design, programming (including SQL and
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the Research Grant Holder Statute, approved by Law no. 40/2004 of August 18, in its current wording, as well as by the Regulations for Grants of INESC TEC and for https://files.dre.pt/2s/2019/12/241000000
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Master’s degree in (Electrical/Electronic and Computer Engineering) or a related field, with valorization in (Robotics and/or Autonomous Systems) or a related field, and have a scientific and professional CV
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loading, and functional genomics. 3. Computational Modeling of pHLA Recognition and Protein Design Computational protein design, machine learning, molecular recognition, and predictive approaches