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Sensors play a pivotal role in modern analytical sciences, particularly in the development of high-performance platforms for the detection of biological and chemical analytes. Applications span
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of geothermal energy systems, the storage of energy sources and technologies to couple the energy sectors of heat, electricity and transportation. Machine learning and deep learning methods are increasingly
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The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute
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performs applied research, develops innovative technologies for public and industrial clients, and transfers these into market-ready products and processes. As part of the research project V2Xplore
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performance (please attach transcripts) Interest in cryptography and/or machine learning Independent and collaborative work capabilities English communication capabilities (German language is not a requirement
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industrial and economic perspective. What you contribute Academic university degree in computer science, engineering or natural sciences including a PhD or equivalent qualification Experience in research
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cultivation, and PV performance at different sites. You collect sensor data, preprocess the data, and analyze it. What you contribute You are studying mechatronics, microsystems technology, computer
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, compare scenarios, and document your work in a transparent manner. What you contribute You are studying a technical or scientific program. You have a basic technical understanding and are eager to dive
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program at a German university, preferably in electrical engineering, communications engineering, or physics, with good to very good academic performance Good knowledge in the field of optical
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Enrollment in a full-time degree program at a German university, preferably in electrical engineering, communications engineering, or physics, with good to very good academic performance Good knowledge in