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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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://home.uni-leipzig.de/~quantumtechnology/index.php/quantum-information-lab/open-positions https://home.uni-leipzig.de/~quantumtechnology/index.php Contact Universität Leipzig Fakultät für Physik und
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subsidy towards research costs to be paid to the hosts extensive alumni sponsorship Application Papers Links to the application forms and further information on the application procedure can be found here
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medicine. What can be funded? Research visits for postdoc Chinese scientists and researchers. Duration of the funding 3-12 months Value Monthly scholarship rate of 2.100 EUR Combined health-, accident and
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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interesting research topics and submit your application here for the 5th cohort of the NHR Graduate School. Contact Information Contact person: Monique Drees E-Mail: scholarship at nhr-verein.de
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location for green hydrogen. Who can apply? PostDocs who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups: Production Transport and
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the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow