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the opportunity to pursue a doctorate. Requirements: Completed university degree in atmospheric sciences, mathematics or physics (master's degree). Desirable: Research experience in atmospheric dynamics and the
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learning, mathematics, physics, or similar field Experience in Python and at least one deep learning framework like PyTorch or TensorFlow Experience with analyzing large data sets or in advanced computer
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) for the Mathematical Research Data Initiative (MaRDI) starting October 1, 2025. Your profile: You have managed a project or projects with multiple partners within the academic system You take initiative in proposing
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: Completed master's degree in mathematics, computer science, physics, geoinformatics, data science, or related fields Ability to work independently, willingness to learn and acquire new skills Interest in
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University of Bayreuth, Faculty of Mathematics, Physics & Computer Science Position ID: 2961-FULL [#26630] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Bayreuth
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) on the generated image datasets. Conducting experiments to assess the performance of different models and encoding techniques. What you bring to the table Enrolled Student in Engineering, Mathematics
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks, graph neural networks, physics-informed ML) to approximate PF results Train models using...
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the power system real-time simulation software Your Profile: Good background in electric power engineering, physics, mathematics or other related subject Experience in energy systems and modeling Interest
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software Implementation of model in a C++ based simulation software Your Profile: Good background in electric power engineering, physics, mathematics or other related subject Experience in energy systems and
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research team Your Profile: Excellent university degree (Bachelor) and enrolled in a Masters in Mechanical Engineering Strong mathematical background Professional competence: good knowledge and experience in