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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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coverage of both theory and empirical analysis, the PhD programme at GSEFM offers a two-year cycle of doctoral-level courses developed specifically to transmit a rigorous methodological framework in the core
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dedicated to world-class teaching and research in medicine and STEM . Its 10,000 students are distributed among the faculties of medicine, engineering, computer science and psychology, mathematics and
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of the University of Bremen: Production Engineering, Business Studies / Economics, Mathematics / Computer Science, Physics / Electrical Engineering, and Law. Associated partners are the BIBA – Bremer Institut für
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Group (EASE IRTG), Empowering Digital Media (EDM), the Research Training Group HEARAZ , the Research Training Group KD²School (KD²School), π³: Parameter Identification – Analysis, Algorithms
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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Initiative; Theory and Terminology (TNT); Facing New Technologies (FNT); the Ethics Working Group; Asian Highland Manuscripts; Permanent Seminar on Manuscript Analysis, Description, and Documentation
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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
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, communication and presentation skills, project management, statistical analysis, leadership skills, and many others. This allows our students to acquire transferable skills that are not routinely communicated in
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language