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computer vision, ideally segmentation and/or quantification of micro-CT data experience developing deep learning-based image analysis methods experience with scientific Python programming experience
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research in leading journals and conferences. Attract competitive research funding in Denmark and Europe. Teach and develop courses in parallel computer systems, parallel programming, and HPC, and supervise
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 3 days ago
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At the Faculty of Electrical and Computer Engineering, Institute of Circuits and Systems, the Chair of Highly-Parallel VLSI Systems and Neuro
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Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos)
Physics-Informed Symbolic Distillation for Domain-Specific Vision Applications (S3.5-COM-dos Santos) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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, including discrete and continuous decoding of hand and finger activity Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task
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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Position in Reversible Programming for Energy
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. About the Role Come join the Computer Science team! Our Ph.D. Program Administrator is the primary point of contact for all aspects related to the Computer Science Ph.D. programs and populations
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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Vision-Language-Action models and their fine-tuning, evaluation, or extension. Multimodal sensor integration (force, tactile, vision) into policy learning pipelines. GPU-parallel simulation, large