142 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at DAAD in Germany
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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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funded for up to three years by the German Research Foundation (DFG FI 2963/2-1). The successful candidate will participate in a research project investigating the chemical ecology of the Mediterranean
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
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scientific challenge. To address this challenge, the PhD student shall assess the interaction of food-borne toxicants at realistic co-exposure using New Approach Methods (NAMs). The focus of this work will be
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Description Description: PhD project supervised by Prof. Dr. Magdalena Götz (Biomedical Center LMU Munich & Institute for Stem Cell Research, Helmholtz Center Munich). The project investigates
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funding phase at the Martin Luther University Halle-Wittenberg will start with a highly interdisciplinary and ambitious research program in November 2025. We invite applications for 8 PhD positions for 3
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Researcher (PhD Position, m/f/d) Neural Circuits and Behavior This position is limited in accordance with § 2 WissZeitVG and § 72 HessHG, offering the opportunity for individual academic qualification and with
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methods experience in the statistical analysis of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge