1,507 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions in Germany
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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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. The professorship will be
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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, please see https://www.uni-jena.de/en/Jena+living+international . Funding opportunities within the university Yes Description of the above-mentioned funding opportunities within the university
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 9 hours ago
International PhD peers, staff and supervisors Participation in international conferences Diverse intercultural background of students To find out more about DLGS fellows, see https://dlgs-dresden.de/fellows
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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of the Cottbus–Senftenberg research region and enhances its visibility. Through innovative research and new teaching and learning formats, BTU actively shapes the future. It contributes to addressing major
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settle into the team and are given 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
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mostly provides an evaluation of the student's general astronomy background and should indicate where further learning is desirable. The IMPRS Advanced Courses consist of seven one-week morning lectures
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of visualisation, machine learning, and human-computer interaction under the joint supervision of both institutions. The position is shared by TU Wien and USTP and offers the opportunity to conduct research at both