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to constructively engage with researchers and other stakeholders outside of their discipline. be proficient in the English language (oral and written). In addition, prior experience with any of the following methods
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co-design adapted and new methods to enhance reflection and learning in and adaptive capacity of learning-oriented experiments. The intended start date of your employment is 1 November 2025 and the
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for interesting collaborations. What we ask of you The ideal candidate has a curious mind, is independent, and shows attention to details. The ability to select and adapt existing methods for the current task in
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interdisciplinary environment within EMBRACER and international partners and apply advanced methods like Lagrangian tracking and reanalyses to reveal new insights into atmosphere-ice-ocean feedbacks in the Arctic
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
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fluctuations.The methods will crucially support the development of stochastic bifurcation theory. During the PhD, you will initially work on a pre-specified subproject of your choosing, which allows you to develop
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and experience conducting social-scientific fieldwork (quantitative and/or qualitative research methods). Excellent interpersonal skills. An excellent command of written and spoken English. Good
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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artificial intelligence, computational cognitive science, human-computer interaction, computer science, information systems, or another relevant field. - A keen interest in pursuing interdisciplinary research