161 data-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" PhD positions in Germany
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applying to the GTC, graduate students have to have an offer for a doctoral position from a Tübingen neuroscience lab. Accommodation General information on this topic is jointly provided by the welcome
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information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint
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to the Doctoral Committee via the Office for Doctoral Studies. The Doctoral Committee decides on the admission of new applicants. Tuition fees per semester in EUR 2,280 EUR Additional information on tuition fees
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 hour ago
, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the list of research group leaders currently offering positions
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skills, project management, teamwork, and leadership helps PhD students to improve their communication and presentation abilities as well as critically evaluate their research data. Didactic Skills
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the life sciences and related disciplines (e.g. biomedical sciences, biology, biochemistry, physics, chemistry, psychology, computer sciences, engineering) Acceptance by an authorised academic supervisor
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via our online system . Further information We offer up to 16 fully financed PhD positions. Excellent scientific and transferable skills training, competitive work contracts or tax-free fellowships, as
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the Excellence Cluster “REBIRTH” in 2007), Auditory Sciences (from the Excellence Cluster "Hearing4all" in 2013), Epidemiology (since 2013) and Biomedical Data Science (BIOMEDAS since 2020). In addition, we offer
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Programme duration 6 semesters Beginning Other Application deadline Application track I (joint call): updated information for the next call will be announced here in due time. Application track II (open
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves