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learning and Generative AI. Produce publications in top conferences and journals. Offer guidance and assistance to students involved in the project. Collaborate with industrial and academic partners. Perform
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relevant predictive models. The lab also maintains extensive collaborations with experimental and computational scientists across multiple academic, industry, and government partners. Trainees will have
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access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Today, we have the momentum to create
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of working independently as well as collaboratively • Strong publication record in peer-reviewed journals • Good communication skills in English (both written and oral) • Prior experiences with
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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preliminary research proposal of a maximum of five pages, including references, addressing human–AI collaboration, creativity, and learning in education and working life. The proposal should outline
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, particularly robotic arms. Familiarity with human-robot interaction and reinforcement learning is a plus. Demonstrated ability to conduct independent research and contribute to collaborative projects. We regret
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research scientists have significant roles in a variety of collaborations and projects, including Learning the Universe, JWST, PRIMA, Rubin, Euclid, Roman[1] , CAMELS, DREAMS, MESA, AstroPy, Dedalus, LIGO
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for biological and diagnostic applications. The post is funded through the UK Quantum Biomedical Sensing (Q-BIOMED) Research Hub and involves collaboration with researchers in chemistry, physics and biomedicine
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). Based at our St Lucia Campus . About This Opportunity Join a visionary and collaborative research community as a Postdoctoral Research Fellow in Crop Quantitative Genetics. Working within UQ’s Queensland