57 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark
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high-throughput reactor systems, combined with the implementation of a visionary data management strategy, will provide a unique environment for data-rich research supported by machine learning and AI
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. Updating and refining learning components for the 3D-CIRCULAR educational and certification programmes in collaboration with partner institutions. Managing and documenting progress for the second and third
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, thermodynamic models, and unit operations, developed as part of research projects at both CERE and KTC. These software tools include but are not limited to the Integrated Computer Aided System (ICAS), CAPCO2
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Job Description The Machine Learning in Photonic Systems group at DTU Electro at the Technical University of Denmark is seeking a candidate for a PhD position to research multiplexing in photonic
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with
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processing and hybrid BCI design Machine learning (ML) Bioinspired control systems Neuroplasticity and motor recovery Real-time control of soft exoskeletons Your Role As a PhD candidate, you will: Develop and
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are applying for the position. If you wish further information about the position, please contact Simon Ringive at simri@dtu.dk or Phillip Yttung at phiyt @ dtu.dk to learn more. Applications
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robotic systems (e.g., ABB, KUKA, or UR). You have practical experience with machine development, material testing, mechanical characterization, or process parameter optimization. Furthermore, it is an
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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wish to learn more about DTU Skylab and the position then feel free to contact Team Lead Jonas Eliasson, joneli@dtu.dk , tel: +45 9359 6809 or contact Programme Manager Ida Bjerring Mehl, idabm@dtu.dk