48 machine-learning "https:" "https:" "https:" "UCL" Postdoctoral positions at Technical University of Munich in Germany
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using AI to solve the world’s most pressing challenges? Do you believe that technology should serve a higher purpose? The Civic Machines Lab at the Technical University of Munich (TUM) is looking for a
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management skills • Experience with qualitative or mixed-methods research • Familiarity with AI, machine learning, neurotechnology, or robotics research contexts • Interest in science policy, governance
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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office.ethics@mh.tum.de https://get.med.tum.de/ www.tum.de If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion
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social or behavioral sciences (incl. human-computer interactions with relevant experience). Applicants must demonstrate experience in experimental work with human participants; possess versatile
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of the General Data Protection Regulation (GDPR) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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Imaging, Machine Learning, or a related field • Demonstrated research experience in generative models for medical imaging (e.g., diffusion models, VAEs, GANs) • Publications in high-ranking journals and