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Field
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We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 5 May 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Hours Per Week 26 Offer Starting
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At the department, education is conducted in the subjects of computer engineering, electronics, electrical engineering and sound production. The research at the department takes place at
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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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Application dates Applications close20 April 2026 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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We are looking for a full-time PhD candidate to join the research group ‘Language Evolution and Adaptation in Diverse Situations ’ (LEADS), led by Dr. Limor Raviv , at the Max Planck Institute
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.
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computer scientists to design paradigms that compare "active" learning (standard VR) against "proprioceptive" learning (haptically guided movement), measuring outcomes such as path efficiency, force