117 high-performance-computing positions at Technical University of Munich in Germany
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will begin
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learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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frameworks. Hands-on experience with MONAI framework. Working in a Linux environment, with experience of shell scripting, cluster, or cloud computing. Fluency in spoken and written German. We are looking
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, or cloud computing. Fluency in spoken and written German. We are looking forward to receiving your comprehensive online application until 20 June 2021. Please send your application (in English) in a single
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of Munich (TUM), together with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years
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vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100
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is a joint appointment of the Technical University of Munich and the Remote Sensing Technology Institute of the German Aerospace Center (DLR). It engages with the development and fundamental research
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funded by the German Federal Ministry of Education and Research (BMBF). The position is funded for four years with a possible extension. The project will start on October 1, 2021. Topics of the positions
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in quantum information and communication theory, as well as in quantum coding theory • Interest in theoretical work with high practical relevance • Motivation to demonstrate research results on a