111 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Technical University of Munich
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research and urban planning to collectively provide information for the planning and management of urban green spaces in the city of Munich and beyond. Through citizen engagement and stakeholder
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good knowledge of English and German • Experiences with Research Data Management is an asset • Pronounced scientific and writing skills are a benefit, particularly in science communication The position
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you bring to this project. Max two pages), and contact information for two references at camila.hidalgo@tum.de Documentation: Candidates may be required to provide proof of residency history and
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
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cooperation with the Chair of Aroma and Odor Research at the Friedrich-Alexander University Erlangen (FAU) •Sample preparation (selection and organization of sample material to ensure accurate origin of data
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information on the IRTG, the research projects and principal investigators are available on the CRC 1371 website. In Project 05, we are offering exciting scientific positions in the field of cancer immunology
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy