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Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning of electronic structure and computational materials discovery. In this role you will be performing
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research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization
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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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. To maintain its exceptional quality and competitiveness, the Vienna BioCenter PhD program is seeking a dedicated Program Manager who will play an important role in the operation of the program and contribute
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on energy informatics Ability to perform scientific work independently Experience in participating in research and development projects in a national and international environment as well as in third mission
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all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, air
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skills Additional skills that would be an advantage: • Programming and data analysis experience • Experience with working on high-performance computers What we offer: A longer-than-average PhD
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gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, air pollutants and radionuclides. To learn more about our team, we invite you to
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Doctoral School (OMDS). The VGSE offers a broad three-year PhD program in economics focusing on specialized field courses, research seminars, and intensively supervised research time. The program is
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The University of Vienna, Faculty of Chemistry, is home of the Vienna Doctoral School in Chemistry (DoSChem). DoSChem is the largest doctoral training program in Austria focusing on the field of chemistry and