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applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. At the headquarters, on the campus of “Technische Universität Ilmenau
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Germany Immunohistochemistry and/or RNA in-situ hybridization and light microscopy High degree of motivation, willingness to learn and team spirit Strong sense of responsibility, organisational skills, high
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the areas of laser and optics, electronics, programming, and computer-based data analysis is beneficial What you can expect 👥 Team Spirit: Creative, interdisciplinary environment with a motivated team, flat
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and adults actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas
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machine learning algorithms Strong communication skills and ability to work in interdisciplinary teams Fluency in spoken and written English We offer: A dynamic and interactive research environment as
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structured way, like to take responsibility, and are open to learning about new research topics. You are a team player who values collaboration just as much as independent work. If you fulfill all
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems
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directly in front of the institute, an e-charging station and a multi-storey car park The position is limited until the completion of the thesis We value and promote the diversity of our employees' skills
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
program combines computer scientists, theoretical physicists, mathematicians, and engineers with biologists and medical researchers to create a vibrant, interdisciplinary working environment. Our institute
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silicon wafers generates large data sets from extensive physical measurements. Efficient data preparation is therefore essential for short learning cycles. Your task is to enhance and implement automated