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to fulfill the aims of this projects, computational chemistry aspects of the project will be co-supervised by Dr. Mehedi Davari at the IPB (Projects: Leibniz Institute of Plant Biochemistry English ) and
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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English ) and Chemical synthesis by Professor Martin Weissenborn at MLU ( AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
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translate interviews conducted in English, French and Spanish into English (Current state of the research); 2) Assist with thematic analysis and report on qualitative interviews; 3) Participate in team
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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devices Knowledge of Python programming Good knowledge of materials technology, and basic knowledge of environmental assessment of materials Good written and oral English skills PLEASE NOTE: For detailed
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written communication skills in English (CEFR C1); The ability to carry out high level research and publish in renowned peer reviewed international journals. Employment conditions and benefits We offer you
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to the project. All of the research activities and the project reporting will be undertaken in English and so fluency is essential. The successful candidate will also be required to register for a higher research