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Field
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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Max Planck Institute for Solid State Research • | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The overarching goal of the Max Planck Graduate Center for Quantum Materials is
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hydrogen release by means of pressure control Carrying out parameter studies Comparison of different catalyst materials Determination of the pressure dependence of the dynamic hydrogen release Development
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hydrogen carrier (LOHC) perhydrobenzyltoluene. Your task will include: Planning and commissioning of a test rig for the dyhydrogenation of loaded LOHC Targeted deactivation of the catalyst materials under
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Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of technical chemistry, physical chemistry or a comparable discipline
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Environmental informatics is understood to be an integrated subject consisting of bio-, eco- and
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | about 1 month ago
://www.mpsd.mpg.de/imprs-ufast/apply . These 21 interdisciplinary doctoral PhD projects in ultrafast science and quantum materials are on offer. Tuition fees per semester in EUR None Combined Master's degree / PhD
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Sciences at Universität Hamburg can be chosen. Fast-track option Exceptionally qualified applicants can enter the doctoral programme directly with only a Bachelor's degree (that is materially relevant
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a