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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral
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simulation and computational materials discovery. About the team: Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable
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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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of your personality: Necessary qualifications: • Completed doctorate/PhD • Excellent knowledge in the field of mechanism design • Formal analytical capabilities • Excellent knowledge
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education in chemistry; • advanced knowledge in environmental trace metal chemistry (including thermodynamic modelling); • specific knowledge on interactions between plants and trace metals (e.g
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sustainability. Your future tasks: Active engagement in research, teaching, and administrative responsibilities, including: You develop an independent research profile in the fields of trace element analytics and
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, we invite you to join our team! Our lab focuses on understanding the molecular mechanisms by which mobile genetic elements (MGEs) move between and within genomes. We aim to explore their biological
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progress. Your future tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high