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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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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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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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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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our contact form . Please note that for technical reasons we cannot accept applications by e-mail. www.fz-juelich.de
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dynamics, data science, and machine learning are beneficial. Please submit your detailed application with the usual documents by August 15, 2025 (stamped arrival date of the university central mail service
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our FAQs , please send us a message via our contact form . Please note that for technical reasons we cannot accept applications by e-mail. www.fz-juelich.de
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that for technical reasons we cannot accept applications by e-mail. www.fz-juelich.de
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of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD
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, plenty of hands-on training opportunities, annual winter school, and workshops for transferrable skills. Application Please submit the following documents (max 3 MB) via e-mail (siowwoon.ng@fau.de) with