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science or humanities discipline (e.g., medical anthropology, psychology, education) with demonstrated experience in qualitative research methodologies, an excellent knowledge of the theories and approaches
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monitoring design theory and tools (Python, Julia and/or R). Education/Experience: PhD in related field obtained in the last 5years (2020 or later) - Strong computational and ecosystem modelling background
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areas: superconducting device theory, design and fabrication of superconducting devices, materials characterization, low-temperature physics, microwave electronics, software development, quantum control
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predictions of tipping points and critical transitions in ecosystems and reveal how these can be evaded and even reversed through spatial pattern formation. RESILIENCE will develop a new theory for emerging
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predictions of tipping points and critical transitions in ecosystems and reveal how these can be evaded and even reversed through spatial pattern formation. RESILIENCE will develop a new theory for emerging
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reversed through spatial pattern formation. RESILIENCE will develop a new theory for emerging resilience through spatial pattern formation and link this with real tipping-prone biomes undergoing accelerating
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reversed through spatial pattern formation. RESILIENCE will develop a new theory for emerging resilience through spatial pattern formation and link this with real tipping-prone biomes undergoing accelerating
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a new theory for emerging resilience through spatial pattern formation and link this with real tipping-prone biomes undergoing accelerating global change: savanna and tundra. The candidate will
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a new theory for emerging resilience through spatial pattern formation and link this with real tipping-prone biomes undergoing accelerating global change: savanna and tundra. The candidate will
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programming, data analysis, low energy electron diffraction and pulse-counting electronics. Knowledge and experience in density functional theory or related calculations of electronic structure. Demonstrated