77 machine-learning-and-image-processing-"U" Postdoctoral positions at Technical University of Denmark in Denmark
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human
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engineering, with a strong willingness to learn the complementary skill set. Experience in collaborative research environments. Excellent communication and teamwork skills. A proactive attitude towards learning
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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areas will be considered an advantage: Confocal microscopy Image processing Optical bench instrumentation – set up and alignment Scientific software development Thermochronology and exposure dating
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 30 November 2025 (23:59 Danish time). Applications must be
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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be considered an advantage: Confocal microscopy Image processing Optical bench instrumentation – set up and alignment Scientific software development Thermochronology and exposure dating The successful
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like