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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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monograph and up to five essays) must be submitted exclusively via the university’s Appointment Portal by 10 September, 2025. Enquiries may be directed to the Dean of the Faculty of Humanities, Prof. Dr
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Elektronenstrahl-Mikrosonde (EPMA) Eigenständige Kommunikation mit universitären und externen Dienststellen (z. B. Bauamt, Universitätsrechenzentrum) im Zusammenhang mit den Laboren IT-Support für die Computer der
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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development of teaching in otorhinolaryngology within the framework of the MaReCuM model study program is also expected. Prerequisites for application are a completed university degree in medicine, a qualified
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document by Email to esm-jobs.asg@ed.tum.de until June 30, 2025. The size of the file should not exceed 15 MB. For further information or to discuss the position please contact Prof. Dr. Niklas Boers
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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/karriere/berufung/ ) - bis zum 04.06.2025 an Herrn Prof. Dr. med. Sergij Goerdt, Dekan der Medizinischen Fakultät Mannheim der Universität Heidelberg, Universitätsmedizin Mannheim zu richten. Die Universität
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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program supports an international internship in the laboratory of our collaborative partner at Tufts University in Boston, USA (Assist. Prof. Robert Blanton), who is also co-advisor of the doctoral thesis