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solutions. Job Description: The successful candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals
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research problems in chemistry (ANR TcPredictor project) and to the study of materials under pressure, in particular superconducting hydrides; implementation of a multi-objective Tc-energy approach
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position within a Research Infrastructure? No Offer Description Research theme: Advanced Porous Materials for Offshore Gas Storage and Capture Project abstract: The objective of this project is to develop
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there. USM makes it possible to replace traditional heuristics with AI-based techniques for memory management. The objective of this project is to explore the use of AI within USM and to investigate
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granted paid study leave of up to two [2] years. Upon successful completion of their IPF, they will be appointed as tenure-track Assistant Professors in College of Science at NTU. The successful candidates
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participatory workshops where citizens and decision-makers experience and evaluate different urban scenarios in VR. Collect and process data from these sessions, combining objective indicators (e.g., space use
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or an allied discipline with a proven track record in the areas of molecular biology, genomics, transcriptomics, and plant biotechnology. Required knowledge, skills and abilities: Excellent written and verbal
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are large-scale dynamical systems which are vulnerable to critical events, such as extreme weather, congestion, local voltage problems, or (cyber) attacks. Your primary objective is to develop resource-aware
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analysis Strong programming skills in Python, with additional experience in C/C++ or other object oriented languages Experience with PyTorch/TensorFlow for computer vision tasks Track record of publications
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North Carolina A&T State University | Greensboro, North Carolina | United States | about 2 hours ago
of autonomous vehicles, sensing, perception, and artificial intelligence. This is a non-tenure-track, year-to-year appointment, renewable annually for up to two years subjected to satisfactory performance