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++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as
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surrogates or approximators, such as random forests or shallow neural networks, trained to mimic the outputs of the original computations at a fraction of the cost. This hybridization aims not only
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to enable former scholarship holders of the “Development-Related Postgraduate Courses (EPOS)” to carry
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19 Dec 2025 Job Information Organisation/Company Karlsruhe Institute of Technology Department KIT Center MathSEE Research Field All Biological sciences Chemistry Computer science Mathematics
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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available in the further tabs (e.g. “Application requirements”). Programme Description The yDiv Graduate School is looking for highly-motivated, international candidates from the Global South to apply
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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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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. Do I need to know German? No, knowledge of German is not required, but you have the option of taking free German language courses during your graduate studies. How long does a doctoral program usually