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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping
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Machine Learning for Acoustic Sensing under Uncertainty , done in collaboration with Aalto University and funded by an internal DTU grant. Our research at the Acoustic Technology group, DTU Electro focuses
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. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in
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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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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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dedicated employees. Read more about us at www.energy.dtu.dk Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a
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approximately 300 staff from more than 30 nationalities. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better