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research with options to bridge fields and use an interdisciplinary approach. We offer 2 University Assistant (pre doc) positions for 3 years under the team supervision of two CoBeNe principle
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numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not limited to, stochastic partial differential equations
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fields such as the social sciences and science and technology studies (STS). The doctoral project will be shaped around the candidate’s own interests and strengths within these areas. Your future tasks
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transdisciplinary academic research spanning the COSMOS, planet EARTH, its ENVIRONMENT and the ANTHROPOSPHERE. We aim for our students to become world-leading experts in their fields while confidently communicating
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to our research and teaching in the fields of marine climate change ecology and is embedded into the strategic priorities ‘Systems of Life’ and ‘Climate, Environment, Sustainability’ ( https
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institute and the Doctoral School. You will participate in conferences and publish research results in peer-reviewed journals. You will actively seek support (workshops, training, coaching, etc.) when
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using external fields (electric, magnetic, or flow) to create structured, anisotropic, and multifunctional materials. By coupling field-driven orientation with compositional design , the project will
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proven expertise in performing theoretical research in the fields of theoretical high-energy physics and quantum field theory as well as theoretical quantum information, as proven through a successful
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related fields; contribute to joint publications and other collaborative research outputs; present research at international conferences and workshops; actively contribute to the intellectual life of the
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experimental skills from planning to implementation to data acquisition and processing. You must have extended hands-on experience in at least two of the following areas: molecular beam sources, (cryogenic