12 machine-learning "https:" "https:" "https:" Postdoctoral positions at Technical University of Denmark
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intersection of robotics, control engineering, machine learning, and neuro-inspired computing, while collaborating closely with academic partners and researchers across disciplines in Denmark as well
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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part of a world leading research environment and contribute to the development for the next generation machine learning tools for power systems. One Postdoc will be involved in the newly funded project
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new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. The Postdoc positions are part
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. Publish findings at the intersection of AI, perception, XR, and universal design. We are looking for a candidate who: has a strong background in machine learning, computational perception, XR, HCI
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disciplines. We are looking for : A strong research background in computer science, machine learning or a closely related field. An interest in AI for Science but bioinformatics background is not required
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Job Description Do you want to design the microbial foods of the future? You will use metabolic engineering, advanced analytics, machine learning, and fermentation technologies to create novel, well
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research will have broad applicability. Use, adapt, and harmonise statistical and machine learning methods for extreme value analysis and regionalisation that account for non-stationarity in both time and
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galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, and Machine Learning / statistical inferences for large datasets are strongly encouraged to apply
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research