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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
the study area. Publish the research results in scientific journals and present results at international conferences. Develop statistical methodology for the analysis and integration of complex-structured
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, AI-enhanced simulations, and computational workflows to explore biological complexity and design solutions for a sustainable bioeconomy. The four PhD projects are: Further details on each project can
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for the Greifswalder Bodden, to investigate the complex interactions between turbulence, bottom friction, light availability, and nutrient inputs. The primary aim is to improve our understanding of the environmental
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(Hamenstaedt), Complex Algebraic Geometry (Huybrechts), Global Analysis (Mueller), Topology (Barthel, Bottman, Ozornova, Schwede), Geometric Topology (Avramidi, Stadler), Representation Theory (Stroppel) and
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to environmental cues. Innovation drivers include the development of advanced technologies and the full integration of complex computational approaches to answer relevant biological questions. To learn more about
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception and cognition to mind and neurophilosophy biology to technical solutions Additional support is
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to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
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. Advanced training modules: Choose from practical courses and lecture series on topics like image analysis, microscopy, biostatistics, developmental biology, and more. Community & collaboration: Take part in