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Degree in AI, Data Science, Computer Science, Biomedical Engineering, or related fields Experience in machine learning/deep learning projects Proven research or practical experience (publications, other
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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20 Jan 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Computer architecture Computer science » Other Engineering » Computer engineering Engineering
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Medical - Clinical Medical - Research Internal Number: A-179907-11 General Description The laboratory of Gislin Dagnelie, PhD, Lions Vision Research and Rehabilitation Center, Johns Hopkins Wilmer Eye
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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
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(ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with machine learning
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
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of the suitability of the profile for the functions and tasks to be performed focuses on the candidate's experience in machine learning and COMSOL modelling of materials and devices. Note: These criteria will be
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member to begin Fall 2026. We seek candidates with a PhD in Computer Engineering, Electrical Engineering, Computer Science, Information Technology or related fields whose research aligns with strategic
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member to begin Fall 2026. We seek candidates with a PhD in Computer Engineering, Electrical Engineering, Computer Science, Information Technology or related fields whose research aligns with strategic