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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
Information Research Fellowship (BI) Job Status Full-time Hours Per Week 37,5 Offer Starting Date 19 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
infrastructure.Undertake fieldwork in tropical North Queensland. Perform and image behavioural presentations. Extract and analyse 3-dimensional object tracking data. Lead the preparation of high impact scientific
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effect prediction. The fellow will work under the mentorship of Dr. Alex Luedtke and collaborate with an interdisciplinary team of statisticians, physicians, computer scientists, and health policy
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research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program. The successful candidate will contribute to high-quality research on addiction, with a strong focus on
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skills. Demonstrated ability to work independently and as part of a team with minimal supervision. Demonstrated capacity to deliver high-quality project outcomes in a timely manner. Computer programming
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scientific conferences and publish models and scientific insights in high-impact journals Who You Are: Ph.D. in Computational Biology, Bioinformatics, Computer Science or Machine Learning related field
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linear algebra or the application of state-space system theory, without rigorous theoretical grounding, are unlikely to be suitable. The successful applicant will have demonstrable potential for performing
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linear algebra or the application of state-space system theory, without rigorous theoretical grounding, are unlikely to be suitable. The successful applicant will have demonstrable potential for performing
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning
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. Key deliverables include developing ‘storylines’ for low-likelihood high-impact volcanic eruptions and performing volcanic climate-model simulations. WP2: Past Volcanic Climate Shocks – 500s–600s and