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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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– 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 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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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageGerman, English LocationHannover Application Deadline15 Aug
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Next Working LanguageGerman, English LocationHannover Application Deadline15
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invites applications for the position as PhD student (f/m/d) We are looking to recruit a PhD student for projects in structural studies of membrane trafficking using cryo-electron tomography (cryo-ET). We
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationLeipzig Application Deadline31 Jul 2025
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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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glyphosate mineralization rates (Wilms et al., 2023). The PhD project will identify glyphosate-based surfactant impacts on microorganisms from freshwater sediments, e.g., rivers or ponds, that are capable
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Tomography of desorption reactions: positron emission tomography for quantifying