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The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
Job Code: 16/2026 Job Offer from August 12, 2026 The Max Planck Institute for Extraterrestrial Physics (MPE) in Garching (Bavaria, Germany) is a world-leading institute in space- and ground-based
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pollution control mechanisms, management of land, soil, water, air and biodiversity, protection of ecosystem services, and climate change. Advisory services within these areas are offered to ministries and
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emissions processing system and the CMAQ modeling system. Background in atmospheric chemistry modeling, including experience with gas-phase chemical mechanisms and/or aerosol chemistry. Experience with WRF
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to industrial biotechnology. The successful candidate will investigate the cellular and molecular mechanisms underlying robustness in industrial yeast strains and translate this knowledge into rational strategies
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understanding of the molecular mechanisms of all transformations in order to propose new original alternatives in terms of efficiency, environmental friendliness and sustainability. Job Description We are seeking
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The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in
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and distribution systems, including unit load design and supply chain efficiency. • Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and
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construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26
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their wild relatives over thousands of years. In this project, you will develop and apply computational omics approaches to uncover the molecular mechanisms underlying ancient plant–microbiome