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“dual career” concept, involving the rotation of positions and tandem research groups, MHH supports a new model for clinical research scientists. Our offer: We provide fully-funded studentships
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of contestations of the liberal script, alternatives to the liberal model, and implications of the contestations for politics, societies and individuals in the 21st century. The doctoral programme consists of three
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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
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research questions from several fields such as software and domain engineering, system modelling and analysis, application adaptability and integration, human computer interaction, security, and
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funding. Amongst the benefits available to award winners are invitations to numerous events or the opportunity to attend language courses. Our alumni sponsorship measures flexibly support every
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 4 days ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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to numerous events or the opportunity to attend language courses. Our alumni sponsorship measures flexibly support every Humboldtian’s individual journey through life, in both their careers and their future
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are invitations to numerous events and the opportunity to attend language courses. Our alumni sponsorship measures flexibly support every Humboldtian’s individual journey through life, in both their careers and
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researchers individualised support and funding. Amongst the benefits available to award winners are invitations to numerous events or the opportunity to attend language courses. Our alumni sponsorship measures
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward