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heterogeneity and temporal variation and cannot be adequately described by models that assume a uniform structure. The project aims to develop flexible models that allow key characteristics of the process, such
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various plant and algal species, and follow an interdisciplinary approach, combining molecular biology, genetics, epigenetics, metabolomics, biochemistry, structural biology, biophysics and microscopy with
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to detail, scientific rigor, and a structured, systematic approach. High motivation and strong interest in developing scientific expertise and achieve research goals. A collaborative and communicative team
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 6 hours ago
TU Dresden or UCL may attend online. Application deadline See our website (https://imprs-coni.mpg.de/application-dates) for further information. Tuition fees per semester in EUR None Combined Master's
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. These are engineered composite structures, invoking dispersive wave phenomena to gain exotic properties that go beyond what is considered possible in Nature. A key property is the bandgap, a range in which waves
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more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above
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will be the Head of Department. About the project The successful candidate will be part of the project SAPPHIRE (https://sapphire.norceresearch.no/ ). SAPPHIRE aims to contribute to cleaner and more
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contribution LMU basic fee + additional fee for the Deutschlandticket https://www.lmu.de/en/workspace-for-students/abc-study-guide/semester-ticket/index.html Costs of living Living costs (including accommodation
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well as a family-friendly corporate policy Extensive further development opportunities, e.g. through an extensive range of training courses; a structured program of continuing education and networking
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong