306 phd-studenship-in-computer-vision-and-machine-learning positions at DAAD in Germany
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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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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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Description A fully funded doctoral researcher position is available at the Zoological Institute and Museum of the University of Greifswald. The start date is February 1st, 2026. The position is funded for up to three years by the German Research Foundation (DFG FI 2963/2-1). The successful...
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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships for aspiring PhD students within the framework
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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships to earn a PhD within the framework of “Ancient
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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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between quantum computers (via Qiskit) and classical HPC resources Validate the QCS-MiMiC implementation on IBM’s ibm_cleveland quantum computer by reproducing recently published benchmark QM / MM
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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
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within a multi-disciplinary research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines
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architecture exploration, hardware/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing, artificial intelligence and machine learning. Tasks: research