1,506 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Germany
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where wildly creative ideas for a hopeful future can emerge, and will provide an inspiring learning environment to students. The position is funded by and affiliated with TransforM – the Munich Center
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23 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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civil and military operations“ and „operational analysis and evaluation“. The combination of these research focus areas provides an ideal platform for interdisciplinary research in simulation and
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). Knowledge of computer architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a
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coupled hydrological and groundwater modelling, combined with machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics
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LMU Munich. The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/ ). The professorship of Systems Neuroimmunology is part of the Cluster
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at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
research topic, which is assigned to one of the research areas offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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of the science location Cottbus-Senftenberg further and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and