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for cosmetic products Development and application of machine learning and data analysis methods What you contribute Ongoing enrollment in food chemistry or food technology, chemistry, physics, engineering
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 27 days ago
, biomedical engineering, computer science, physics, or a related discipline. A strong background in fMRI data analysis (e.g., FSL, FreeSurfer, ANTS) and very good programming skills in Python and Bash on Linux
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31.08.2026 Application deadline : 09.10.2026 The Center for Plant Molecular Biology (ZMBP) at the University of Tübingen invites applications for a DFG-funded PhD position (m/f/d, E13 TV-L, 65
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motivated candidate with an interest in experimental cognitive neuroscience and experience in programming and data analysis. The position offers an excellent opportunity to pursue a doctoral degree in a
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
programming, research data management, AI applications, and machine computing in science. Networking and exchange in interdisciplinary digitalization communities and at BAM digitalization events with the aim
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Join our scientific team in the multimedia communications group in a key position in
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circuits are used in sensor technology, medical technology and quantum cryptography. Photonics is one of the most exciting and dynamic areas of applied research. Building on many years of experience, the HHI
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos.Become a part of our team and join us on our journey of research and innovation! Be
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learning models and data driven FEM simulation models for sheet metal forming processes. The position requires regular on-site presence at our institute in Aachen. The weekly working hours are at least 10
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technology, optics, mechatronics, computer engineering, or a related discipline. Strong motivation, scientific curiosity, and commitment to scientific excellence. Experience in one or more of the following