669 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Germany
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well as in collaborative projects with other research centers. A willingness to teach in both the Data Science and Economic and Mathematics degree programs, as well as in teacher training, is desired
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innovative research and new teaching and learning formats, BTU is shaping the future: It contributes to addressing major future issues and transformation processes with scientific insights and practical
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Max Planck Institute for Heart and Lung Research | Bad Nauheim, Hessen | Germany | about 2 months ago
of the mRNA decay fragments, and 2) the regulation of related genes by the decay fragments, or their derivatives. For more detailed information please see our recent publications: (https://www.nature.com
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The
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investigations as well as analyzing and interpreting the results of these investigations developing and testing innovative spinning technologies and modifying existing machine technology preparation of scientific
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In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells
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to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In addition to the classic service areas of a university (research, teaching and studies, transfer
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structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome WORK-LIFE BALANCE: We offer
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) car and bicycle parking spaces Be part of change You will research the current state of the art. You will implement, train, and test deep learning model architectures. You will develop approaches
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determination, computer-aided calculation and modeling of the thermophysical substance values of fluids is a fundamental-oriented research focus at the Professorship of Thermodynamics. In this context, devices