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Field
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of agroecological and digital innovations (ADIs) integrated into new Rural Community Business Models (RCBM). The research will support the development of a multi-level Decision Support Tool (BUS-DST) by refining and
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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institution. At the Center for Interdisciplinary Digital Sciences (CIDS), the Department Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig) offers 2 positions as Research Associate
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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Data Science programs. Job description: The advertised position is planned for work in our EU project Waste Water Pathogens (WaWaPa). The project of the European Health and Digital Executive Agency
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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knowledge of digital image processing and the relevant image processing programmes, in particular batch processing (e.g. Adobe CS6, ImageJ) Good knowledge of digital colour management What We Offer Access
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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an extensive safety analysis and calidation of perception algorithms in automotive. Through our work, we lay the foundation for a reliable digital future. What you will do In our Trustworthy Digital Health group