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no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning
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Institute for Microstructure of Materials and Systems, Halle, to carry out research into novel atomically engineered materials for nanosystems - tackling grand societal challenges in the fields
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. Working across this entire pipeline provides a rare opportunity to shape a cutting edge imaging technology from its foundational concepts through to its biomedical use cases in complex biological systems
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science, engineering, mathematics, physics, or related disciplines) Applicants holding a Master’s degree or expecting to complete it by January 2027 at the latest Motivated individuals eager to actively
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
, Computer Science, Physics, Electrical Engineering and Information Technology Faculty 2 Environmental and Natural Science Faculty 3 Mechanical Engineering, Electrical and Energy Systems Faculty 4 Social Work, Health
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technology at your fingertips – Gain access to high-end microscopes and other advanced equipment through shared central facilities A vibrant, international community of scientists and collaborators Additional
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cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat