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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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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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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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/phd-candidate-in-machine-learni… Requirements Additional Information Website for additional job details https://www.academictransfer.com/357920/ Work Location(s) Number of offers available1Company
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University, Tyndall National Institute, and Seagate Technology, one of the global leaders in data storage and photonics innovation. Four PhD students will be based at ATU Donegal and will join the
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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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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