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Responsibilities: The successful applicant will cover research and teaching in the field of data-driven material research with a reduced teaching load of two weekly credit hours at Freie Universität Berlin. The professorship includes the opportunity of establishing and leading a newly founded...
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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acquisition of teaching experience. Requirements: Completed university degree in atmospheric sciences, physics, or mathematics (Master's degree). Desirable: Experience or willingness to develop model components
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given. Requirements: - Completed master's degree and completed doctorate in mathematics by September 2025 Desirable: - Solid background in algebraic topology / K-theory / higher algebra - Gender and
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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The Mueller group studies nanoscale light-matter coupling phenomena in quantum materials. We use polaritons to shrink light to the nanoscale and employ ultrafast nonlinear optical techniques to bridge phenomena in the typically separate mid-infrared and visible spectral ranges. We aim to advance...
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scientific university degree (Master's or similar) in meteorology, physics or mathematics. Desirable: Experience in atmospheric dynamics and numerical modelling of the atmosphere. Fluency in English and
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own scientific qualification (PhD/Doctorate). Requirements: Candidates must have a Master in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: Fluent English, spoken and written
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research and the acquisition of teaching experience. Requirements: Completed scientific university degree in meteorology, physics or mathematics. Doctoral degree in atmospheric or climate sciences. Desirable
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analysis in a research project. You are highly motivated and hungry for knowledge. You enjoy problem solving, working independently, and meticulously. You like mathematical and computational physics. You