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must provide proof of excellent English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent. Application deadline The application deadline has not yet been determined
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the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work
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international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
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applications, farming systems analysis, regional planning, environmental economics, and policy and rural development. Proposal (eight months): This features the research concepts and design, a literature review
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in the 36 months immediately before your recruitment date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer
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, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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, economics, sociology, and language education to computer sciences. The quality of the doctoral research is ensured by systematic interdisciplinary supervision. Furthermore, a wide array of activities is
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requirements German diploma ("Diplom"), Master's degree or Dr med Language requirements Excellent English (TOEFL 550 (paper-based), 213 (computer-based), 80 (internet-based) or equivalent Application deadline 1