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Field
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complexes and signalling hubs coalesce to initiate autophagosome formation. How cells coordinate this intricate machinery required to create an autophagosome is still not fully understood, and this lack
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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for complex microbial communities and their interactions with potential interventions. Currently, we are seeking a PhD candidate to support our interdisciplinary team. Be part of change You will conduct a
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Associate / PhD Student (m/f/x) within the MSCA Doctoral Network SLICE (due to funding, the salary is calculated according to MSCA regulation) starting October 1, 2026. The position is limited to 36 months
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empirical sociology and complexity approaches Learn to integrate survey data, network analysis, and agent-based modeling Develop strong skills in data analysis, modeling, and social experiments Collaborate
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formed to engulf cellular material, is critical for cellular health and healthy ageing. This process is hierarchical and can be understood as a sequential process, where key protein complexes and
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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at the intersection of multiple transitions. Focusing on actors’ collective strategizing, you will investigate how such tools can support dealing with the complexity of multiple transitions. You will adopt a
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industrial SBSP experts, the candidate will explore the nonlinear structural dynamics of LSSs to fully understand the complexity of their control. They will use this foundation to explore idealised and