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: Physics / Electrical Engineering Faculty 02: Biology/Chemistry Faculty 03: Mathematics / Computer Science Faculty 07: Business Studies and Economics Faculty 09: Cultural Studies Faculty 10: Linguistics and
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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admission requirements Applicants are required to have basic knowledge in undergraduate level physics, chemistry and mathematics, with a Bachelor's degree in one of the following fields: engineering natural
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project is a joint initiative of the following institutions Ilmenau University of Technology, the Max Planck Institute for Biogeochemistry, the German Centre for Integrative Biodiversity Research (iDiv
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Publication of results in peer-reviewed scientific journals and
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disciplines ranging from interface and macromolecular chemistry to drug delivery and cancer therapy technology and seeks to make significant contributions to both fundamental science and practical applications
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/2025.03.02.641062 Your Profile The successful applicant should hold a master's degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological
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joint doctoral programme of the three Berlin universities and the graduate school of the Cluster of Excellence MATH+. Areas of expertise include: Geometry and topology Algebraic geometry and number theory
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content ENWAT (Environment Water) is facilitated by the Civil and Environmental Engineering Sciences Department