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will work in the subproject 1, ecoclimatology in mountain forests under climate change (Prof. Dr. Annette Menzel). We are looking to fill the position of a PhD student (m/f/d) in the field
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& Development), focuses on assessing the CO₂ storage potential of seagrass meadows and identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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biodiversity recovery and climate mitigation and adaptation. The post holder will work closely with Prof. Andrew Friend and the wider CLR team. They will also have the opportunity to participate in a wide range
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. The PhD project will focus on the governance models adopted for energy hub platforms. These include
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University of Quebec at Rimouski (Canada), the Chrono-Environnement Laboratory (France) and GEODE (France). Within ISEM, He will be under the supervision of Prof. Adam A. Ali and collaborate closely with
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temperature has been 1.5°C higher than pre-industrial levels, surpassing the temperature limit set by the 2015 Paris Agreement for the first time. To mitigate climate change and achieve carbon neutrality by
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bring strong programming skills with languages like Fortran, C, R or Python. Prior experience in the field of process-based modeling, e.g., climate modeling, is an asset. For both projects, fluent
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 18 hours ago
with the fish host, using Kudoa dicentrarchi as in vivo model”, with the reference COMPETE2030-FEDER-00726900, Operation No. 16118, funded by COMPETE2030 and national funds (FCT) under Call for