20 machine-learning "https:" "https:" "https:" PhD positions at Technical University of Denmark
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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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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bringing together expertise in antimicrobial resistance, microbial genomics, bioinformatics and machine learning, quantitative risk assessment and burden-of-disease modelling. Responsibilities and
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(e.g. sparse-view and/or high-noise) data. Develop and validate numerical implementations on simulated and real CT data. Explore and compare supervised and self-supervised machine learning/AI-based
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HCI, machine learning, biosensing, and accessibility. You will design and evaluate trustworthy, interpretable XR experiences in a joint DTU-KTH project with co-supervision and extended research stays
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, self-motivated, and team-oriented person who enjoys working on the theoretical and applied foundations of acoustic machine learning. Your CV comprises: Solid foundations in signal processing and
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, or data integration for industrial applications. Knowledge of machine learning, data analytics, or AI methods for manufacturing applications is also required. Experience with manufacturing data
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data
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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