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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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to oxygen levels and tumor aggressiveness. Using imaging-based measurements of pH and O₂ in mouse tumor models, we will integrate these readouts with spatially resolved single-cell transcriptomics to identify
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Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 12 February 2026 (23:59 Danish time). Applications must be submitted as
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dimensions offer a paradigm-shifting approach to photonic systems, enabling the study of high-dimensional lattices physics using low-dimensional photonic systems. Our research combining quantum physics and
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, cellular biophysics or optical instrumentation. Responsibilities and qualifications We imagine that one of our new colleagues has experience in construction and/or operation of home-built optical setups
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structure quantification by tomography and imaging Perform testing across different scales, i.e. characterizing the viscoelastic properties of the base material and the nonlinear mechanics of the scaffolds
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setups. Build and Experiment : Lead the hands-on development, calibration, and testing of the prototype diagnostic system in our lab and at leading international fusion facilities. Collaborate : Work
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots. Validation and experimental evaluation of control algorithms on robotic platforms Profile and