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Field
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. This role is part of a project recently funded by the Australian Research Council (ARC) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
) Background Antarctica is often called the world’s last great wilderness, surrounded by a so-called ‘pristine’ ocean that harbours a highly diverse fauna of invertebrates, fish, birds, and mammals
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) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the Postdoctoral Research Associate – Coral Reef Systems on the Edge , your key responsibilities will
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to the development of advanced control and energy management strategies for different energy systems. The SEA-POWER project, conducted in collaboration with VEBRAT E-Mobility Solutions, aims to investigate and enhance
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modelling. As a formal qualification, you must hold a PhD degree (or equivalent). Flexibility is essential. We are looking for a team player who can also work independently, who is motivated to help make, and
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
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their own research skills in ocean modeling, data analysis, and scientific communication. Contribute to identifying new research opportunities and potential collaborations, helping to expand the research
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in