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-LIKE1 suppress overbending during negative hypocotyl gravitropic growth. bioRxiv 2024.2005.2024.595653 The position is suitable for disabled persons. Disabled applicants will be given preference in case
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23.04.2024, Wissenschaftliches Personal We are offering one PhD position to a highly motivated student focusing on the interconnections between biophonic and anthrophonic sounds and environmental
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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knowledge in Machine/Deep Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming
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for 36 months; •Payment according to TV-L E13 (65 % position) •Place of work: TUM School of Life Sciences in Munich-Schwabing, Winzererstr.45 •Possibility of doctoral studies as well as scientific and
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explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. The position is suitable
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
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, and cutting-edge environment, we are looking for a PhD candidate on the topic of “Automatic recognition of building attributes”. This PhD position is funded through a cooperation with the Munich Re
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environment using machine learning technologies. This PhD position is part of our research on exploiting social media data for earth observation tasks. The work will be on the topic of developing geographically
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workforce and explicitly encourages applications from qualified women. The position is suitable for severely disabled persons. Severely disabled applicants will be given preference in the event of otherwise