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collaboration; they attend courses and workshops that cover scientific content and ethical aspects as well as soft skills. The PhD students are supervised by expert tandems, each consisting of an academic
Section: FB3
students of universities in and around Bremen can participate. You can find further information as well as our BBDC newsletter at: https://bbdc.csl.uni-bremen.de We are looking forward to your participation
Fraunhofer MEVIS. Digital medicine has immense potential, both professionally and economically, as well as socially. Not least in the combination of artificial intelligence (AI) and health research, the
and discuss current stages of their thesis progression, receiving immediate help from 1-2 PhDs, as well as helping others! With in-person meetings possible again, the first Student Theses Club will take
Tutorial: Brain Pattern Recognition In Brain Pattern Recognition, we'll explore all the steps involved in developing a brain-computer interface (BCI) that captures and automatically interprets brain activity
theory, simultaneous statistical inference and adaptive designs, graphical models and causality as well as, more generally, the development of methods for the statistical analysis of clinical and epide
human-computer interface (devices and forms of interaction) to the users and the context of use as well as technologies and algorithms for digital interaction from virtual reality to image and language
speech recognition. The course starts with the basics of human speech production and perception as well as theory of signal processing. The main part of the course covers how speech can be modeled for automatic