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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
using graph-structured prior knowledge Analyze food-related (multi-)omics data Your Profile The ideal applicant has a strong background in bioinformatics and/or probabilistic machine learning, as
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application. Please see the course website for the entire admission regulations and details about the application procedure: https://www.uni-goettingen.de/en/430861.html Language requirements Applicants must
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apply for student accommodation via the DAAD . Structured research and supervision Yes Research training / discussion Yes Career advisory services and programmes for future professionals FU Berlin: http
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structured and persistent; you can plan, organize, and prioritize your work to drive your processes toward both short- and long-term goals. As an academic community we value original ideas and the intellectual
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Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
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within the faculty participate in the programme. The course content is very broad and the specific subject of the dissertation depends on the institute. For research subjects, please see our website: http
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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of the position Numerical simulations of nonlinear photonic waveguides and devices Photonic design of hybrid integrated laser structures for manufacturing at NTNU or in collaboration with external foundries
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construction technology. The candidate has: A European Master’s degree (or obtained before starting the PhD) in Engineering Technology, Materials Engineering, Chemical Engineering, Chemistry, Nanoscience