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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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the capability to pursue a broad physics program with relativistic radioactive beams addressing nuclear structure and nuclear astrophysics questions. During the year 2027, the setup is planned to move to its new
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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areas: EEG, multimodal MRI, or imaging genetics, documented through peer-reviewed publications excellent programming skills (e.g. Python, MATLAB, R) experience working with distributed computing resources
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Required Qualifications: Bachelor's or master's degree in computer science, software engineering, or a related field Proven experience in technical leadership roles on cloud-native or distributed system
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) Country Germany Application Deadline 17 Sep 2025 - 08:42 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 24 Aug 2025 Is the job funded through the EU Research Framework Programme
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity