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biologists to test model predictions, and the motivation to develop their skills at the intersection of quantitative modelling, cell biology, and algal biochemistry. Experience in parameter fitting
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models, including behavioral testing and tissue collection Analysis of neuronal and glial alterations associated with pain Planning, execution, and documentation of experimental studies Collaboration with
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systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work
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enrich the knowledge base (i.e. learning by interaction); (iii) querying the knowledge base about what was useful in the past to predict actions that might be useful in the present, try them out and update
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make well‑founded priorities in complex projects Take initiative to develop, test, and refine quantitative methods Collaborate constructively within the research group and across disciplines spanning
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-field fracture modelling, contact and micromechanics of particulate or composite materials, mechanical testing and X-ray tomography, and programming (e.g. Python, C++ or Fortran). An innovative mindset
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advanced battery-testing facilities and large-scale battery datasets, enabling validation under controlled as well as practical operating conditions. The postdoc will work in an interdisciplinary environment
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day for application. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD exam in logistics, Supply Chain Management or similar Very good oral
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. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD exam in logistics, Supply Chain Management or similar Very good oral and written proficiency
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Sciences have participated in several research projects that, among other things, have investigated the effects of test-based learning, the use of vertical surfaces, and student-generated clues for solving