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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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Description We welcome applications via our website from 25 August - 07 October 2025. The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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“PhytoM - Leibniz Professorship for Phytonutrient Management” at the Technische Universität Berlin: PhD student (f,m,div) in the Field of Physiology and Food Chemistry Reference number: 21/2025/3 The salary
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two part-time positions (65%) as Doctoral Researcher (PhD Position, m/f/d) in the field of Neurobiology In accordance with § 2 of the WissZeitVG and § 72 HessHG, the positions are to be filled on a
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Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
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Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering a Collaborative Doctoral Project (PhD Position) – Computationally-Enabled