39 programming-language-"U.S"-"U.S" Fellowship research jobs at The University of Queensland
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-centered AI. Publish outputs in high quality outlets, such as AAAI, IJCAI, NeurIPs, CVPR, EMNLP, CHI, CSCW, FAccT, or similar. Establish a research program in the area of human-centered decision support
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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electronic structure methods, with a particular focus on strongly correlated electron systems. Proficient scientific programming skills, including experience with relevant programming languages
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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research in Africa, Asia Pacific or Latin America. Fluency in another language is highly regarded. The successful candidate may be required to complete a number of pre-employment checks, including: right
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program, contributing to service and engagement activities, and mentoring the next generation of researchers through effective student supervision. This position presents a unique opportunity for an
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geomechanics. Fluency in written and spoken English, and excellent verbal and written communication skills including the ability to author technical and/or scientific writing and present work in conference and
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research profile as a Research-focused Academic in the Queensland Alliance for Agriculture and Food Innovation at UQ. The Research Fellow will be responsible for leading a tissue culture program for
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(Academic Level A) or Research Fellow (Academic Level B) to join our dynamic AI in Healthcare team, part of the cutting-edge Health research program (HERA). In this position, you will advance your expertise
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to