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Society. The Department of Machine Learning and Systems Biology led by Prof. Dr. Karsten Borgwardt is looking to recruit a highly-motivated PhD student (m/f/d) for the project Building Clinical Foundation
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. Responsibilities We offer two PhD positions, eachexploring a different part of this challenge: PhD 1:Teach anaerobes to survive a breath of air. You will push oxygen-sensitive microbes to their limits, uncover how
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deadline No application deadline Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content This trinational doctoral
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Job Id: 11398 Fixed-term of 3 years | Part-time with 65% | Salary according to TV-L E13 | Institute of Virology We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are...
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for Metabolism Research Teaching language English Languages The programme is completely conducted in English. Programme duration 8 semesters Beginning Winter semester Application deadline The CGA offers a PhD
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, and capable of independent as well as collaborative work Note: The PhD project will focus on computational and experimental analyses of cancer cell lines; animal experiments will be performed by
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Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Bielefeld Graduate School in History and Sociology (BGHS) offers doctoral researchers
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for doctoral programmes: any time Application deadline There is no application deadline for this programme. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 22 hours ago
deadline 30 April (for a starting date in autumn) 31 October (for a starting date in spring) Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm