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experience in modeling of atmospheric composition. Additional Qualifications Experience with the GEOS-Chem model and with inverse analyses, strong scientific programming skills. Experience with inverse
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conferences / journals. Aptitude for teamwork, problem solving, and collaborative relationships. Strong technical background in at least one of the following areas: Multiple access techniques, interference
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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The University of Toronto is pleased to announce the third call for applications for theEric and Wendy Schmidt AI in Science Postdoctoral Fellowship , a program of Schmidt Sciences, which brings
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of Dr. Mamoun Alhamadsheh. The fellow will be focused on developing the research program of the Alhamadsheh’s lab funded by a research grant from NIH awarded to Dr. Mamoun Alhamadsheh. Essential Functions
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive international networks and by world-class facilities. To find out more
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we