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PhD Scholarship (iPhD) Program is an industry-focused, applied research scholarship and training program that brings together an industry partner, the university and CSIRO. You will undertake a co
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Universität Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 26 days ago
with at least a grade of 'good'. Experience in programming in C, C++, Python, or IDL (or any equivalent) is desirable, as well as experience in the analysis of imaging radio data. The full-time PhD
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Medicine Leibniz Institute for Molecular Pharmacology Max Planck Institute of Human Development Teaching language English Languages English (100%) Programme duration 6 semesters Beginning Only for doctoral
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requirements for your preferred programme, in addition to those specified by RADMA. Nationality restrictions This funding is available to all nationalities. Other eligibility criteria This award is available
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. The position is an Alliance PhD partially funded by DTU and partially funded by Villum Fonden under the Villum Young Investigator program. The PhD project will investigate the molecular basis of enzyme-substrate
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to the faculty's Doctoral Programme Proficiency in spoken and written English. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is
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pressure to reduce both energy demand and chemical consumption. Project SandSCAPE, an Ofwat-funded programme, tackles this challenge by integrating purpose-built robots that skim slow sand filter beds while
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to develop long term, quantitative strategic plans that emphasize sustainable agribusiness enhancement. This PhD position is carried out in collaboration with the Doctoral Program in Agricultural and Forestry
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than